What Is The Best Data Catalog Tool

is one of the efficient data catalog tools specializing in a self-service analytics tool that provides data analytics solutions. Alteryx is available through Alteryx connect, a centralized product designed to maintain and follow the business terms and definitions, metrics, information assets for collaboration, and discovery of the data. Alteryx provides the flexibility to connect to the users, discover the types of information, the source from which the information is coming, and how and who are using it. Alteryx includes several components like Alteryx Designer, Alteryx Promote, and Alteryx Server. These Alteryx tools would help deliver the powerful search resulting in the re-usage of the information in analytical apps, macros, visualizations, workflows, data science models, etc.

2. Tableau:

is one of the user-friendly data visualization tools that is designed to perform data analysis. Tableau is a powerful and fastest-growing software that allows the data to be simplified in an elementary understandable language. Tableau allows data visualizations creation via worksheets and dashboards. In the business intelligence industry, it is vital to use the tool that helps in efficient analysis of the data, and Tableau is indeed found to be the best among the data visualization tools. Tableau also allows customization to enable the creation of the dashboards, which is easily understandable by a non-technical user. Tableau is developed and designed such that it is flexible in solving the data related problems of an organization efficiently.

3. Alation:

is the platform, a central repository for the enterprise data. It is flexible to provide all the information about the business organization in an organized format as a single point of reference. It allows the management of the data profiles and the usage along with the monitoring of the usage. Alation is the best tool that provides accurate insight into the data, how the users are creating, and the data. Along with Tableau, Alation is a self-service analytics tool that allows creation, publishing, certifying, and monitoring the data sources across the organization.

4. Collibra:

is a data governance platform for an enterprise that provides tools for data management. Collibra is the tool that comprises the technical’s metadata and its usage. Collibra is a customer-interface tool that offers multiple advantages to users, including faster resolution of the data-related issues, big-data analytics enablement, and data taxonomy, which provides deeper data understanding and linkages. Collibra also has an ROI calculator that allows the organization and its users to analyze the potential return on investment.

5. Asg Enterprise Data Intelligence Tool:

is a product that encompasses and allows the organizations to find, understand, govern, and deliver the information required to the users of the organization. ASG Tool provides its support to the IT companies in an efficient way. ASG Technologies is capable of discovering the data from more than 220 traditional and data sources. Like the other data catalog tools, ASG Tool is also used to manage the metadata for running the analytics with its impressive data governance capabilities.

or CA, the ERwin Data modeler, is one of the data visualization tools that allow modeling and designing of the database and the data. It enables the creation of data models that are conceptual, physical, logical. Erwin is a very vital tool capable of creating the actual database using physical and consistent models. Like the other tools, ERwin is considered a managed service that allows the users to perform data discovery and the deployment of the data sources. Erwin also allows importing of the metadata from the data integration tools, cloud-based platforms, and delivering the solutions to complicated situations.

7. Octopai:

, the best tool designed that is termed as a centralized, cross-platform built for the Business Intelligence teams to discover and govern the shared data. Octopai is an automated tool that is flexible in providing Business Intelligence users and groups a platform to find, explore, and understand the data for a comprehensive analysis of the data. This would help in delivering the reporting accuracy, data quality, data governance. The Octopai tool uses a central repository to store the metadata and also involves scanning of the metadata, databases, and reporting tools.

8. Informatica:

I think everyone heard about it before. is a platform that is designed for the development of data warehouses. Informatica is a composition of multiple products like Informatica Enterprise Data Catalog, Informatica Business Glossary, Informatica Metadata Manager. The Informatica tool helps create a knowledge graph of the data assets and their relationships in the organization. Informatica can publish the database as a web service and assist in load balancing between the database and the ETL server. Informatica is a beneficial data catalog platform that allows efficient data discovery and data analysis.

9. Infogix Data360:

, a suite offered by Infogix, integrates data governance capabilities that include data catalog, metadata management, etc. This tool allows the business users to confidently rely on and use the data, having a great belief that the business analysis would generate. This tool ensures enterprise-wide data integrity, one of the key aspects that an organization looks for.

10. Ibm Infosphere Information Server:

is the latest data integration platform built by IBM, which provides the flexibility to understand, monitor, transform, and deliver the data. It is the tool developed to bridge or isolate the gap between the IT and the business organization. The IBM Infosphere Information Server provides the massively parallel processing capabilities, which helps in handling all data volumes.

11. Denodo:

is a data virtualization tool developed by the Denodo team which connects and integrates with the cloud, structured, unstructured, significant data sources. Denodo express includes the graphical user interface based studio, which helps in handling deliverables to the end-users and the enterprise.

12. Oracle Cloud Infrastructure Data Catalog:

The is a tool from Oracle designed to perform data discovery and governance solutions to the metadata. Using the Oracle Cloud Infrastructure Data Catalog, a single environment will be created, a collaboration of the technical, business, and operational metadata. It includes a user-friendly interface that consists of dashboards, actions, shortcuts, searches, and browse capabilities.

13. Qlik Catalog Tool:

, formerly called Qliktech, is one of the platforms that provide end to end services required for an organization. It includes user-driven business intelligence, data integration, and all the analytics related to the organization. Qlik catalog products are considered as secured catalog products. This tool contains automated data preparation and metadata tools to streamline for the better transformation of the data.

14. Unifi Tool:

The Unifi data catalog tool is one of the innovative tools designed for allowing users to manage efficiently, collaborate, and interact most robustly. It includes search and discovery capabilities, allowing the catalog data sources to be placed in one place. It will enable automatic cataloging of more than 60 types of data sources and allow data to crawling and data asset collection.

15. Zaloni Arena:

tool is a platform designed to operationalize the data along with the entire process or pipeline from the data source to the consumer. The product is specialized in the centralized management of the enterprise data sources that are the central aspect of data analytics. Zaloni is built to be compatible with multiple models and engines, like the data processing engines and the deployment models required for better decision making.

In the ever-changing world, these Data catalog tools will provide immense support to the analysts and their teams for data analytics in the Business Intelligence industry. The above mentioned are some of the best tools used by analysts or data professionals worldwide.

I hope the above article is helpful. Would you like to learn more about the Data catalog tools? Yes, there are many, and its time for you to learn and excel in it.

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Tool: Aginity Pro

Related products: Aginity Team

Description: Aginity offers an active analytics catalog that lets users and organizations write, save and organize their analytic code. When saving code to a catalog, developers can put a title, description and other metadata around their code so it’s easy to understand the intent and context of what the code is trying to do. All of the analytic code can then be shared with others by providing either view or edit access. Every object saves in the catalog is an object that can be referenced in the code editor for execution with simple syntax.

Learn more and compare products with the Solutions Review .

Tool: Alation Data Catalog

Description: Alation Data Catalog helps you find, understand, and govern all enterprise data through a single pane of glass. The product uses machine learning to index and make discoverable a wide variety of data sources including relational databases, cloud data lakes, and file systems. Alation democratizes data to deliver quick access alongside metadata to guide compliant, intelligent data usage with vital context. Conversations and wiki-like articles capture knowledge and guide newcomers to the appropriate subject-matter expert. The intelligent SQL editor empowers users to query in natural language, surfacing recommendations, compliance flags, and relevant policies as users query.

Tool: Alex Data Marketplace

Related products: Alex Scanner Marketplace

Description: Alex Solutions is a technology agnostic unified enterprise data catalog. It features a business glossary that enables users to define and maintain key business terms and link them to physical data assets, processes, and outputs. Policy-driven data quality combines data lineage with data profiling and machine learning-based intelligent tagging. Alex also offers intelligent tagging that helps users add business context to physical data assets. Deployment and integration are simple, and the product’s user interface is friendly to business users.

Tool: Alteryx Connect

Related products: Alteryx Designer, Alteryx Server, Alteryx Promote

Description: Alteryx data cataloging is available through Alteryx Connect. The product centralizes business terms and definitions, metrics, and information assets for discoverability and collaboration. Connect lets users discover the types of information their data contains, where the information comes from, who is using it, and how it is used. The tool features powerful search to find and reuse information in analytic apps, workflows, macros, visualizations, dashboards, and data science models as well.

Tool: Anzo

Description: Cambridge Semantics offers a data discovery and integration platform called Anzo that lets users find, connect and blend data. Anzo connects to both internal and external data sources including cloud or on-prem data lakes. The product also features data cataloging that utilizes graph models encoding a Semantic Layer that describes data in a business context. Users can add Data Layers for data cleansing, transformation, semantic model alignment, relationship linking, and access control as well.

Tool: Collibra Catalog

Related products: Collibra Platform, Collibra Privacy & Risk

Description: Collibra’s Data Dictionary documents an organization’s technical metadata and how it is used. It describes the structure of a piece of data, its relationship to other data, and its origin, format, and use. The solution serves as a searchable repository for users who need to understand how and where data is stored and how it can be used. Users can also document roles and responsibilities and utilize workflows to define and map data. Collibra is unique because the product was built with business end-users in mind.

Tool: Cloudera Navigator

Related products: Cloudera Data Platform, Cloudera Data Catalog

Description: Cloudera Navigator is a data governance solution for Hadoop that provides data discovery, continuous optimization, audit, lineage, metadata management, and policy enforcement. The product lets users explore and tag data through a search-based interface. Navigator consolidates metadata and supports custom tags and comments as well, and it’s easy to track, classify, and locate data to comply with business governance and compliance. Cloudera Navigator is a part of Cloudera Enterprise.

Tool: data.world

Description: data.world offers a cloud-native enterprise data catalog that provides complete context so users can understand their data, regardless of where it resides. This includes metadata, dashboards, analysis, code, docs, project management, and social media collaboration capabilities. The product automatically builds a connected web of data and insights so users can explore relationships as well, and provides recommendations on related assets to improve analysis. data.world is unique due to its continuous release cycle.

Tool: Denodo Platform

Description: The Denodo Platform offers data virtualization for joining multistructured data sources from database management systems, documents, and a wide variety of other big data, cloud, and enterprise sources. Connectivity support includes relational databases, legacy data, flat files, CML, packed applications, and emerging data types including Hadoop. The tool features a dynamic data catalog for accessing data via a searchable, contextualized interface.

Tool: erwin Data Catalog

Related products: erwin Data Intelligence Suite, erwin Data Governance, erwin Data Literacy, erwin EDGE Portfolio

Description: erwin offers a unified software platform for combining data governance, enterprise architecture, business process, and data modeling. The product is delivered as a managed service that allows users to discover and harvest data, as well as structure and deploy data sources by connecting physical metadata to specific business terms and definitions. erwin imports metadata from data integration tools, as well as cloud-based platforms, and can evaluate complex lineages across systems and use cases.

Tool: Watson Knowledge Catalog

Related products: IBM InfoSphere Information Server, IBM InfoSphere Information Governance Catalog

Description: IBM Watson Catalog provides AI-assisted self-service discovery of data, machine learning models and more. The product lets users access, curate, categorize and share data, knowledge assets and their relationships, regardless of where the data resides. Key capabilities include real-time data virtualization support, automated metadata generation, dynamic data masking, and automated scanning and risk assessments of unstructured data via Watson Knowledge Catalog InstaScan.

Tool: Infogix Data360 Govern

Description: Infogix offers a suite of integrated data governance capabilities that include business glossaries, data cataloging, data lineage, and metadata management. The tool also provides customizable dashboards and zero-code workflows that adapt as each organizational data capability matures. Reference customers use Infogix for data governance and for risk, compliance and data value management. The product is also flexible and easy to use, and supports smaller data analysis jobs as well.

Tool: Informatica Enterprise Data Catalog

Related products: Informatica Intelligent Data Platform, Informatica Metadata Manager, Informatica Business Glossary, Informatica [email protected]

Description: Informatica Enterprise Data Catalog is a machine learning-based data catalog that lets you classify and organize data assets across any environment. The product also provides a metadata system of record for the enterprise. Enterprise Data Catalog automatically scans and catalogs data, indexing it for organization-wide discovery via a Google-like search engine. Key features include data provisioning, end-to-end data lineage, integrated data quality, data relationships and recommendations, and even a Tableau extension.

Tool: Oracle Cloud Infrastructure Data Catalog

Related products: Oracle Enterprise Metadata Management

Description: Oracle Cloud Infrastructure Data Catalog is a metadata management service that helps organizations find and govern data using an organized inventory of data assets. The product features a modern, intuitive user interface that includes a simple dashboard, search-and-browse capabilities, recommended actions, and shortcuts. Oracle Cloud Infrastructure Data Catalog is included with an Oracle Cloud Infrastructure subscription.

Tool: Qlik Catalog (Qlik Data Catalyst)

Related products: QlikView, Qlik Sense, Qlik Data Integration Platform

Description: Qlik Catalog builds a secure, enterprise catalog of all the data your organization has available for analytics, regardless of its physical location. The product features automated data preparation and metadata tools to streamline the transformation of raw data as well. The tool includes a self-service data marketplace that lets users “shop” for the data they need and export, share or automatically publish data sets to Qlik Sense and other analytic tools and applications.

Tool: SAP Data Intelligence

Related products: SAP Data Warehouse Cloud

Description: SAP Data Intelligence is an AI-powered data management solution that includes data orchestration, machine learning, and metadata management. The product lets users discover and connect multiple data types regardless of where they reside physically, as well as refine and reuse audio, image, and video streams and data from devices based on the IoT. Users can optimize governance and compliance with built-in metadata management rules, and orchestrate modular data pipelines across distributed architectures.

Tool: Tableau Catalog

Related products: Tableau Desktop, Tableau Server, Tableau Online, Tableau Prep, Tableau Data Management

Description: Tableau Catalog provides a complete picture of the data and how it is connected to the analytics in the Tableau environment. The product automatically ingests all of these assets into one central list so users can quickly see all the tables, files and databases in one place. Metadata and context is made available when data is connected so users can ensure they are using the correct data for analysis. Metadata and REST APIs bring the metadata to Tableau for analysis.

Tool: Talend Data Catalog

Related products: Talend Open Studio, Talend Data Fabric, Talend Data Management Platform, Talend Data Preparation, Talend Big Data Platform, Talend Data Services Platform, Talend Integration Cloud, Talend Stitch Data Loader

Description: Talend Data Catalog automatically crawls, profiles, organizes, links, and enriches metadata. Up to 80 percent of information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning. Data Catalog key features include faceted search, data sampling, semantic discovery. categorization, and auto-profiling. The tool also includes social curation and data relationship discovery and certification, as well as a suite of design and productivity tools.

Tool: Zaloni Arena

Description: Zaloni Arena operationalizes data along the entire pipeline, from data source to consumer. The product automates repeatable data management tasks and processes and provides central management of all enterprise data sources whether on-prem, cloud, multi-cloud, or hybrid. Zaloni is compatible with all major Hadoop distributions, most data processing engines, and applicable deployment models.

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Generate high-quality insights for your business much faster when you use Aginity. Aginitiy is a data catalog tool that make collaboration easy and also intelligent. With Aginity, everyone in your business can explore data wherever it resides. As a result, data is easier to discover encouraging employees to share key findings with other team members. Key features of this data catalog tool include SQL database platform, real-time updates, active analytic catalog, scheduling, data upload, pivoting, light weight visualizations, parameterized queries, desktop model, and more. When you go with Aginity, you increase the productivity and efficiency of your business. Purchase Aginity today.

Key Features:

Reasons to Buy:

Reasons to Avoid:

2. Alation Data Catalog – the best data catalog tool for large businesses that want to increase their understanding of data

Pricing: Contact Alation Data Catalog for pricing information

Are you a large business looking to catalog data and increase your understanding of it? If you said yes, check out Alation Data Catalog today. Alation Data Catalog is an industry leading data catalog that uses machine learning to help businesses find, understand, and govern the data they own. As a result, employees are often empowered when they use this tool. Some key features of Alation Data Catalog include advanced search, compose SQL queries, guided navigation, document data, cloud data, BI tools, and more. Key benefits of using this tool include confident decision making, higher productivity, and a more streamlines analytics. Contact Alation Data Catalog today to find out a custom price for your needs.

3. data.world – the best data catalog tool for businesses that want a modern data stack

Pricing: Starting at $8 USD per month

Create a data driven culture with data.world. If you are looking for a democratic data platform that gets everyone excited about contributing information, data.world offers many different tools to help your business get there. Most importantly, data.world is very easy to use and easy to learn making it very user friendly for your employees. Some key features of data.world includes tiered integrations, private instance, data analysis, query federation, full audit log history, AWS PrivateLink, upstream audit, private instance, AWS account level isolation, AWS PrivateLink, and more. With many different tiers and plans to choose from, definitely add data.world to your research of best catalog tools.

4. Collibra – the best data catalog tool for businesses that want best-in-class data catalog to power data intelligence

Pricing: Contact Collibra directly to learn more about their custom pricing for your business

Empower your teams and maximize organizational productivity with Collibra. Collibra is best-in-class data catalog that powers business intelligence. One of its unique differentiators is creating a unified view of all of your organization’s data so you can connect your data source and gain full visibility of your data in one easy location. As a result, your organization and its employees will be more likely to share and collaborate on information. Some of the key features of Collibra include native connectivity, business intelligence, ML-powered automation, and more. Contact Collibra today to find out more about how it can change your business data management for the better.

Disclosure: Some of the links on this website might be affiliate links, which could result in revenue for our company if you purchase a paid plan at no additional cost to you. Cofes.com is purely for entertainment purposes and is not meant to offer financial advice. For more info read our .

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With the world amassing more data than ever, the need for a composite, overreaching view into all your data becomes paramount. Now, organizations need to maintain a hierarchical structure to data access and protect data from external threats, known as data governance.

But, introducing too many barriers to data access can act counterproductively. Hence, making the need for data catalog tools more assertive than ever been seen or observed. Data catalog tools help in data administration, cost-saving, fraud and risk mitigation, operational efficiency, and gaining competitive advantage.

In this blog, we’ll cover the basics of the top 7 data catalog tools- what they are and why you should use them.

In layman’s terms, data cataloging means collecting, organizing, and governing operations data. And, the tools which help meet those expectations are known as data catalog tools and solutions. In short, data catalog tools help organizations make proactive business decisions.

Alas, it’s about better visibility into your data for deeper analysis and better insights.

Here’re a few real-world use cases of data catalog tools that are worth the mention:

As the ability of businesses to collect data explodes, data teams have a crucial role to play in fueling data-driven decisions. Yet, they struggle to consolidate the data scattered across sources into their warehouse to build a single source of truth. Broken pipelines, data quality issues, bugs and errors, and lack of control and visibility over the data flow make data integration a nightmare.

1000+ data teams rely on to integrate data from over in a matter of minutes. Billions of data events from sources as varied as SaaS apps, Databases, File Storage and Streaming sources can be replicated in near real-time with Hevo’s fault-tolerant architecture.

What’s more – Hevo puts complete control in the hands of data teams with intuitive dashboards for pipeline monitoring, auto-schema management, and custom ingestion/loading schedules. 

Take our 14-day free trial to experience a better way to manage data pipelines.

Data catalog tools come in different shapes and forms. But by and large, they offer you the same set of advantages, like:

When you are confronted with so many options to choose from, in the data catalog tools market, these judgments can be of help. To help you choose the best of data catalog tools, here are a few questions to discuss:

Aginity is considered to be as one of the best data catalog software. The reasons vary, from its easy-to-understand product ecosystem and SQL friendliness to on-demand service scalability options. It not only catalogs all the company data but also catalogs the math utilized to create analytics.

That is why Aginity is considered to be the world’s only integrated analytics management tool that, by default, enables better collaboration between data engineers and business analysts. Aginity is also popular because of its easily accessible data governance and data cleansing capabilities.

Here’re some main capabilities of Aginity that set it apart from the rest and put it on top of our list:

Using manual scripts and custom code to move data into the warehouse is cumbersome. Frequent breakages, pipeline errors and lack of data flow monitoring makes scaling such a system a nightmare. Hevo’s reliable data pipeline platform enables you to set up zero-code and zero-maintenance data pipelines that just work.

Check out what makes Hevo amazing:

Hevo Data provides  to bring complete visibility to your ETL spend. You can also choose a plan based on your business needs.

Apache Atlas is a metadata management and . It helps organizations locate, archive, and deal with complex data assets efficiently. Apache Atlas has open-sourced its design, which has led it to become the fundamental component of the modern data platform — helping organizations in three different ways:

Here’re what we found unique in Apache Atlas:

Amundsen, named after a Norwegian explorer, Ronald Amundsen, is a data discovery and metadata engine. The Lyft engineering team developed the software to address pain points encountered generally.

The data teams at Lyft improved their productivity by at least 20% using Amundsen. In general, Amundsen was built to create a centralized data cataloging repository from different data sources and create visibility into how particular processes are evolving using metadata.

Here’re some features of Amundsen Lyft that we found worth mentioning.

Easy data discovery: Using simple text search, users can find data with extended features of showing in-line metadata, too. The software also indicates popularity ranking and recommended sources of frequently used/visited data tags with relevant search results.

Get a better look into data: Added information into data blocks help workers navigate better into particular data asset. This feature reduces the need to look back and forth or navigate through data, helping save time.

data.world

data.world is a cloud-native enterprise data catalog platform for modern data stack. data.world Search Builder allows users to perform comprehensive searches with multiple filters, logical operators, categories, and custom metadata fields.

Its unique service architecture presents an agile solution to all your data storage, analysis, and governance needs. data.world is publicly positioned as a Public Benefit Corporation and is also certified B. 

Here’re some features we liked the most:

LinkedIn DataHub, an open-source metadata management platform, enables data discovery, data observability, and federated data governance. Developed by LinkedIn, the solution heeds to decode today’s metadata needs. Its unique architecture allows companies to scale processes in accordance with the increase of metadata management capabilities.

The main capabilities of LinkedIn DataHub are as follows:

Alation is a rapidly growing data governance platform that returns search results within seconds without querying. Alation users benefit from its machine learning capabilities, which help them understand and use their data better. 

Alation data catalog tool uses active data governance to put people first, so that your employees can have access to the data they need, at their fingertips. Here are some more interesting features offered by Alation:

Collibra helps unify data across individuals, teams, people, organizations, and systems and is one of the best data cataloging tools in its class. It provides a quality data catalog with embedded governance and privacy options. Collibra can be combined with data silos into a complete and scalable cloud service platform that anyone, anywhere can access. Collibra is safe and compliant with enterprise-level standards.

Features that distinguish Collibra  from other data catalog solutions: 

To make a data catalog tool go-to solution for enterprise-wide data governance, management, and analytics, a swift data movement into a data warehouse is imperative — and, Hevo can help you!

Now you can also read about which is a recently unveiled component of the family of Google Cloud Data Analytics services.

offers top-of-the-line data transfer and data migration services to cater to today’s data warehousing needs. And it’s simple, too. Just select a source of your choice, choose a data warehouse, or the desired destination. That’s it. From here Hevo will take charge of operations in a fully automated and secured manner. It will make your life easier and data migration effortless.

Details on Hevo pricing can be found . Want to take Hevo for a spin?  here for a 14-day free trial and experience the feature-rich Hevo suite first hand.

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Aginity provides an active analysis directory that allows users and organizations to write, save, and organize their analysis code. When saving code to a catalog, developers can place titles, descriptions, and other metadata around the code to make it easy to understand the intent and context of what the code is trying to do. All analysis code can then be shared with others by providing viewing or editing access. Every object saved in a catalog is an object that can be referenced in a code editor for execution using a simple syntax.

Best Data Catalog Tools and Software – 2. Alation

Alation provides a platform for a wide range of data intelligence solutions, including data search and discovery, , data management, analytics and digital transformation. The tool has a behavior analysis engine, built-in collaboration capabilities, and an open interface. Alation also analyzes data and monitors usage to ensure that users accurately understand the accuracy of the data. The platform also offers insight into how users create and share information from raw data.

Best Data Catalog Tools and Software – 3. Alex Solutions

As a unified technology-agnostic enterprise data catalog, Alex Solutions provides a business glossary that enables users to define and maintain key business terms and link them to physical data assets, processes and outputs. Policy-driven data quality combines with data profiling and machine learning-based intelligent markup. Alex also provides smart tags to help users add business context to physical data assets. Deployment and integration are simple, and the user interface of the product is business-friendly.

Best Data Catalog Tools and Software – 4. Alteryx

The Alteryx Data Catalog is available through Alteryx Connect. The product brings together business terms and definitions, metrics, and information assets for discoverability and collaboration. Connect allows users to discover the type of information their data contains, where it comes from, who is using it, and how. The tool has powerful search capabilities to find and reuse information in analysis applications, workflows, macros, visualizations, dashboards, and data science models.

Best Data Catalog Tools and Software – 5. Cambridge Semantics

Cambridge Semantics provides a data discovery and integration platform called Anzo to allow users to find, connect and blend data. Anzo can connect internal and external data sources, including clouds or pre-stored data lakes. The product also has data cataloging capabilities that encode a semantic layer that describes data in a business context using a graphical model. Users can also add data layers for data cleansing, transformation, semantic model alignment, relational linking, and access control. 

Best Data Catalog Tools and Software – 6. Collibra

Collibra’s data dictionary records an organization’s technical metadata and how it is used. It describes the structure of a piece of data, its relationship to other data, its origin, format, and purpose. The solution serves as a searchable repository for users who need to know how, where, and how to use data. Users can also document roles and responsibilities and leverage workflow to define and map data. Collibra is unique in that the product is designed for commercial end users.

Best Data Catalog Tools and Software – 7. Cloudera

Cloudera Navigator is a data governance solution for Hadoop that provides data discovery, continuous optimization, auditing, lineage, metadata management, and policy enforcement. It allows users to explore and tag data through a search-based interface. Navigator integrates metadata and supports custom tags and comments, making it easy to track, classify, and locate data for business governance and compliance. Cloudera Navigator is part of Cloudera Enterprise.

Best Data Catalog Tools and Software – 8. data.world

It provides a native cloud enterprise data directory that provides complete context so users can understand their data no matter where it is located, including metadata, dashboards, analytics, code, documentation, project management and social media collaboration capabilities. The tool automatically builds a network of connections of data and insights so that users can also explore relationships and provide suggestions for related assets to improve analysis. What makes it unique is its continuous release cycle.

Best Data Catalog Tools and Software – 9. Denodo

Denodo platform provides data virtualization for connecting multi-structured data sources from database management systems, documents and various other big data, cloud and enterprise . Connectivity support includes relational databases, legacy data, flat files, CML, packaged applications, and emerging data types, including Hadoop. In addition, the tool has a dynamic data directory that can be used to access the data through a searchable up-down cultural interface.

Best Data Catalog Tools and Software – 10. erwin

This tool provides a unified software platform for combining data governance, enterprise architecture, business process, and data modeling. Delivered as a managed service, the product allows users to discover and acquire data, as well as build and deploy data sources by connecting physical metadata to specific business terms and definitions. This tool imports metadata from data integration tools and cloud-based platforms and can assess complex lineages across systems and use cases.

Best Data Catalog Tools and Software – 11. IBM

IBM Watson Catalog provides ai-assisted self-service data discovery, machine learning models, and more. The product allows users to access, manage, categorize, and share data, knowledge assets, and their relationships no matter where the data is located. Its key features include real-time data virtualization support, automatic metadata generation, dynamic data masking, and automatic scanning and risk assessment of unstructured data through Watson Knowledge Catalog InstaScan.

Best Data Catalog Tools and Software – 12. Infogix

Infogix provides an integrated set of data governance capabilities, including business glossary, data cataloging, data lineage, and metadata management. And the tool also offers customizable dashboards and zero-code workflows that adapt as each organization’s data capabilities mature. Reference customers use Infogix for data governance and risk, compliance and data value management. The product is also flexible and easy to use, and also supports smaller data analysis jobs.

Best Data Catalog Tools and Software – 13. Informatica

As a machine learning-based data catalog, the Informatica Enterprise Data Catalog allows users to categorize and organize data assets across any environment. The product also provides a metadata record system for businesses. The Enterprise Data Catalog automatically scans and catalogs Data, indexing organization-wide discoveries through a Google-like search engine. Its main features include data provisioning, end-to-end data lineage, integrated data quality, data relationships and recommendations, and even Tableau extensions.

Best Data Catalog Tools and Software – 14. Oracle

The Oracle Cloud Infrastructure Data Catalog provides a metadata management service that helps organizations find and manage data using an organized inventory of data assets. The product has a modern, intuitive user interface that includes a simple dashboard, search and browsing capabilities, recommended actions and shortcuts. The Oracle Cloud Infrastructure Data Catalog is included in the Oracle Cloud Infrastructure subscription.

Best Data Catalog Tools and Software – 15. Qlik

Qlik Catalog builds a secure enterprise catalog of all data the organization can use for analysis, no matter its physical location. And the product has automated data preparation and metadata tools to simplify the transformation of raw data. The tool also includes a self-service data marketplace, allowing users to “buy” the data they need and export, share or automatically publish datasets to Qlik Sense and other analytics tools and apps.

Best Data Catalog Tools and Software – 16. SAP

As an AI data management solution, SAP Data Intelligence includes data orchestration, machine learning and metadata management. The product enables users to discover and connect multiple data types wherever they are, as well as optimize and reuse audio, image and video streams and data from IoT-based devices. Users can optimize governance and compliance using built-in metadata management rules, and orchestrate modular data pipelines across distributed architectures.

Best Data Catalog Tools and Software – 17. Tableau Software

The Tableau Catalog provides a complete picture of the data and an analysis of how the data is connected to the Tableau environment. The tool automatically consolidates all these assets into a central list so that users can quickly see all the tables, files, and databases in one place. When data is connected, metadata and context are available, so users can be sure they are using the correct data for their analysis. Metadata and REST APIs bring metadata to Tableau for analysis.

Best Data Catalog Tools and Software – 18. Talend

Talend Data Catalog automatically captures, analyzes, organizes, links, and enriches metadata, with up to 80% of data-related information automatically recorded and kept up to date through intelligent relationships and machine learning. Its main functions include faceted search, data sampling and semantic discovery. Classification and automatic analysis. In addition, the tool’s capabilities include social management and data relationship discovery and authentication, as well as a suite of design and productivity tools.

Best Data Catalog Tools and Software – 19. Zaloni

The Zaloni Arena manipulates data along the entire pipeline from data sources to consumers. The tool automates repeatable data management tasks and processes and provides centralized management of all enterprise data sources, whether local, cloud, multi-cloud, or hybrid. Zaloni is compatible with all major Hadoop distributions, most data processing engines, and applicable deployment models.

Thank you for reading our list and if you’ve enjoyed it, we would be very happy. However, since hundreds of data catalog tools and software are available online, please forgive us if our list does not include your favorites. Feel free to leave a comment below to let us know which data catalog tools you like best and we’ll update this list very soon! Thanks again! (Published by Ryan on May 2, 2022)

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Although the “best” data catalog tools makers will always come down to a slight amount of subjectivity, we scoured the web and did our research to find the top brand producing some of the most reliable and widest range of data catalog tools  in the business. If you want the easiest way to measure your product before using it, you will probably also like our list. Additionally, if you want more products to add to your collection, our list of the best data catalog tools on the market is a great place to start. 1. Catalog It!: A Guide to Cataloging School Library Materials

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1. Is the best data catalog tools right for your needs?

The question that you have to ask yourself before buying any of the best data catalog tools is whether or not they will suit your needs. Besides, you must clearly define what your needs and purposes are. From there, you can choose the best product and serve it according to your requirements.

2. How many competitors does it have?

Many different factors go into answering this question. The number of competitors can vary greatly depending on the best data catalog tools you are dealing with and the scope of your business model.  Knowing how these factors can affect your market share is important when deciding whether or not you should enter a new market.

3. Can I buy something similar cheaper elsewhere?

One of the most common questions that a lot of customers ask is, “Can I buy something similar cheaper elsewhere?” The short answer is no. When you are looking for a quality data catalog tools, the most important thing to know is that cheap is not always better. You should carefully research the best data catalog tools before buying and consult the prices on some online sales websites to make the best decision.

4. What is the return policy?

Return policy is the most important thing to consider regarding the best data catalog tools from a manufacturer. If you’re unsatisfied or something goes wrong with your purchase, you’ll want to know that you have some way to go about it. Additionally, we’ve compiled a list of highly reputable brands based on their return policies and customer service to help people find and choose the best data catalog tools.

There are many different qualities of materials, but it isn’t easy to pinpoint a single specific quality that defines high-quality. Most people will agree that high-quality materials have a long lifetime and don’t rust or break easily, for example, stainless steel. Expensive pieces tend to be more durable because the lower-priced options often use cheaper, less durable materials to cut costs.

In some cases, the more expensive alternative may not necessarily be higher quality than a less expensive option, so compare prices and research before making any purchases. It’s best to go with what you can afford while still getting a high-quality product.

Everyone loves a good product that will last longer without breaking or needing maintenance to keep it running smoothly! We all have busy lives, so it’s best to buy something that will save you time on daily tasks instead of wasting hours weekly.

This best data catalog tools is easy to maintain because of its simple design, making it very easy to clean! You can wash your best item in about 10 seconds or less! And best of all, if you do run into any trouble with your product, you can take advantage of the product’s warranty and get it replaced for free.

The durability of the best data catalog tools is one of the essential things to consider while making a purchase. The best item will last longer and provide better value for your money. People always want the best for themselves, including the best data catalog tools. Many people are not sure if they should spend money on them. If you can choose between two types of something, one has better quality than another. 

People do not want to spend more money buying a good product, so they review sites before purchasing items. Therefore, you can learn what others think of confident best data catalog tools available before deciding if it’s worth spending your hard-earned cash on them or not. Review sites give customers information about the best items. Therefore, when shopping, you should choose the best data catalog tools available with high durability to avoid wasting money.

If you are looking for the best data catalog tools available, don’t be fooled by what the manufacturer announces. When it comes to the best quality products, some of your favorite brands might not even make it. 

The best products are often not as advertised because the better the item, the lower the returns on investment for selling it. Advertising costs outweigh what can be made a good enough quality sale to be worth spending money on.

The culture has also desensitized consumers to marketing schemes, so you won’t see many people getting fooled by fancy ads anymore-especially not on social media. Some of these lower-quality products offer lower prices than more reputable ones without compromising quality, but if they’re, why look at price first before any other reason!

It’s not unusual to make mistakes when using a product, especially the first time. If you have color-blindness or not, you must pay close attention to the color descriptions and be sure you understand them before purchasing anything.

You have to read all reviews from customers. Even the small things about it are an invaluable resource for making the best decision when shopping for new products that will improve your life. So don’t forget to read reviews on the best items before purchasing them.

This way, you can get more information about what people think of the confident the best data catalog tools available, rather than just reading about it on their package or website. Anything of sale does not always give the best idea of what the customer thinks.

Yes, these data catalog toolss have very similar appearances, and the features are largely the same. That said, there are differences in performance, design, and how well they work when the rubber meets the road. This side-by-side comparison will help you navigate the differences and identify the data catalog tools best suits your needs. Categories Post navigation Leave a Comment

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Developed by Lyft, Amundsen is an open-source data discovery and metadata engine for discovering data and generating context that shows how it is being used. It can be piloted by analysts and data scientists and data and software engineers depending on the use case. The product features a PageRank-inspired search algorithm that recommends results based on names, descriptions, tags and querying/viewing activity on the table or dashboard. There’s also automated and curated metadata that describes tables and columns, other frequent users, when the table was last updated, preview data, and more.

CKAN is an open-source data management system that makes data accessible by providing tools to streamline publishing, sharing, finding, and using data. The tool helps you manage and publish collections of data. Once data is published, users can use its faceted search capabilities to browse and find the data they need and preview it using maps, graphs, and tables. CKAN is built with Python on the backend and Javascript on the frontend. It also uses The Pylons webA framework and SQLAlchemy as its ORM.

Magda is a federated, open-source data catalog for cataloging, enrichment, searching, tracking, and prioritization. The tool lets users find useful data via data discovery features. Magda also offers metadata enhancement and authoring tools. It can quickly crawl external data sources, track changes, and make automatic enhancements to push notifications when changes occur as well. Magda touts an open architecture that is designed as a set of microservices, and easy setup and upgrades.

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If you are not already managing your data correctly and you are having difficulties, this is the article for you. Down below, you can find the importance and benefits of the best data catalog tools, why go with an open-source tool, and even find 10 of the best open-source data catalogs!

Most businesses who struggle with managing data don’t understand the data they have in front of them.

It can be the huge amount of data that’s available, or it can be inefficient organization. With the paper trail reduced and digital storage space increasing, data keeps on accumulating like never before.

The data catalog is a solution that can store and manage different data types, sort through the data, and most importantly, show how and where the data can be used in the business.

Transparency is the key of data catalog tools and if you are not using it, you are most likely missing out on the benefits, have data accumulated, and you are not taking advantage of data catalog tools. You are either struggling with data or you’re not .

Now that you understand the importance of data catalog tools, it’s time to learn some of their greatest benefits.

A quality data catalog won’t only allow you to properly catalog all your data. It will also allow you to keep a proper track of data flow between different data types and even show you the flaws in the flow of your data that you can improve.

Another good feature is that sensitive data can also be managed and yet the tool can identify where your sensitive data is shown the most so you can reduce the risk of breaches.

Some of the high-end data catalog tools even offer machine learning features that can learn the way you manage your data and help you out with large data volumes.

Open-source data catalog tools are still high-quality software that comes at a fraction of the price (and sometimes are even free), yet they are great for scaling, offer plenty of customization options, and can be used without any limits (ideal for high data volumes).

Also, as a business or an organization, you won’t have to worry about being dependent on one developer for updates since you can hire developers to develop the open-source further or customize it easily to match your needs.

Also Read:

Now that you know the benefits and advantages of the combination of open-source data catalog tools, this review wouldn’t be complete without my top 10 picks that will most likely fit everyone’s needs!

1.

If you’ve tried finding an open-source data catalog, the chances are that you came across CKAN multiple times.

CKAN is one of the most popular open-source data catalog tools and there’s a reason for it.

This tool is split into two different tools. One is suitable for the government and one is ideal for enterprises. With that being said, one of the best testimonials of CKAN is that it’s currently being used by the Canadian government, US Data government, OpenData.Swiss, British NHS, and many other reputable organizations.

CKAN is an open-source system that allows you to import data from various sources and manage it in a catalog style.

It is developed using Python and it is open-source. CKAN is best at powering data hubs, data portals, and making it easy to sift through data and use it to share and .

CKAN is a web-based platform that includes all functionality, but it can also be integrated into your system using the CKAN API code.

Along with CKAN, you get to take advantage of the datastore provided by an ad hoc database so you can organize your data and safely store it when it is ready for viewing or analysis.

What I also like about this tool is that it is pretty versatile as it is, so you can modify the user interface and features you’d use the most according to your needs. From there, you can even develop your features in Python that you can integrate on your own.

Metadata is provided by default for all your data and there are optional geospatial features that you can use to manage data efficiently.

Visualization is another great advantage of CKAN as you get to . This removes the need to search for data, but CKAN still comes with a rich search engine that allows you to find data in your filestore.

All of these features are integrated, but if you require more features, you can plug in some of the many extensions available for CKAN such as active directory authentication, PDF viewer, organization hierarchy, multilingual metadata fields, and more.

Knowing that CKAN is one of the most powerful open-source data catalog tools available on the market and yet it hosts webinars that teach you how to take full advantage of their free tool is incredible.

2.

Magda started as a small data management project which turned out to be one of the most popular data management systems to store data in a catalog-style way.

The main mission is to provide what every large organization, company, or business requires when they don’t know what to do with the massive quantities of data.

Magda is designed to be a data catalog system where you can store all your data and find specific data information in one catalog.

Data can be imported from files, databases, or APIs, and when you have the data imported, you will be able to sort through it efficiently before storing it.

When your data is successfully stored in Magda, you will have the chance to see all your data in one place, regardless of where the data came from when it was sourced, and the type of the data.

What I like the most about Magda is that it equally features both small and large data. Most businesses neglect small data thinking that it doesn’t provide as much value as large data.

This is not true and I’m glad that Magda has a solution that doesn’t overlook small data as it can be equally important as large data (or be even more important in some cases).

Some of the best features include an easy way to find data thanks to the efficient search engine which improves functionality. Previews are another great feature that combine well with the extensive search engine.

Data is displayed with helpful charting and a spatial view that’s automatically generated for your data.

Metadata can also be enhanced within the tool and basic formatting is automatically done so you don’t have to spend time doing this for your data.

Since Magda is based on the PassportJS, you get to integrate it with various providers such as Google, Facebook, CKAN, and even VANGuard or others.

Lastly, Magda is still under development which means that there will be many more features that will put a stop to manual data management once for all.

Explore:

3.

Amundsen is well known for being a product developed by the company Lyft. It is an open-source data discovery and management tool that allows you to discover and import data.

But where Amundsen excels is that it helps you generate the context of how the data is being used or how it could potentially be helpful to your business.

Therefore, no small or large data is left unturned, and as long as it is imported into Amundsen, you’ll be able to use its great features to manage your data.

The most known feature is the search engine inspired by none other than PageRank. Amundsen’s search engine allows you to search your data based on names, tags, descriptions, dates, queries, metadata, viewing activity, and more.

All data is neatly displayed across a where metadata is automatically curated for all your imported data.

From there, you get to share the context of your data with anyone within your team or company, and you also get to learn from others.

Therefore, Amundsen is most suitable for analysts, data scientists, data engineers, software engineers, and even well-known brands.

It was developed and used by Lyft, but it is also being used by other known companies such as Bang & Olufsen, Square, Cameo, and many others.

4.

Atlan is all about providing a modern approach that offers a data catalog with a great discovery system, quality data profiling, and great data lineage with many features suitable for data exploration.

Along with that, Atlan provides many integrations with the help of open APIs that easily extend Atlan and match your needs or purpose.

I should mention that Atlan is not free, but it is free to get started with the demo and then you can pay as you go. Pricing is transparent and you will only have to pay for the features that you use and need to manage your data.

As social proof, I should mention that Atlan is currently used by brands such as Postman, Plaid, Delhivery, Juniper, and many others.

What’s great about the data catalog in Atlan is that it uses your imported data assets to create data tables that are visible as BI reports.

With the great search engine, you can discover your data and browse it within seconds so you’ll never feel like you’re stuck in an endless database where you can’t find what you need.

You can deploy Atlan as a VPC or you can use it as a managed service. No matter which way you choose, Atlan will be able to connect with your database and integrate it into the system so you can start straight away.

5.

Truedat is on a mission to help any business, government, or solopreneur to take advantage of the existing data and turn it into an asset.

Not only do they provide a tool, but they also provide consulting that will help you launch and manage your data efficiently. From complex data issues to and using it to your advantage is Truedat’s main mission.

What I like the most about Truedat is that it allows you to change the way your data is structured so you can get more effective results such as faster data reports, easy data integration into the cloud hosting, and even ingestion process automation (data importing).

Truedat is proudly supporting LaLiga, Naturgy, Orange, BBVA, and many other enterprises.

6.

Percona is made by unbiased open-source database experts who wanted to change the way we deal with data in the modern age we live in.

Therefore, with Percona, you get access to insightful database dashboards that are based on the data you import. Along with that, Percona provides monitoring and management features that are a great addition which is rare to see.

Their software helps reduce the complexity of data importing, management, and viewing and that’s why their mission is to optimize how databases work with a focus on performance.

Security is another aspect they focus on which is truly important as Percona is being used by some of the largest enterprises on the planet. Needless to say, Percona was awarded by SourceForge with a leader tool in data management and monitoring tools.

What’s most important is that Percona is free for life and it is constantly updated to be and stay the number one leader in the industry.

7.

Girder is a tool developed by Kitware and is a web-based open-source data management platform that allows you to import your data and store it in a catalog style.

Data organization is of huge importance for Girder and that’s why it is developed in a way to provide data construction for organizations that have a lot of unstructured data.

Of course, all of this is available in the web browser which means that it’s very easy to get started with Girder.

Since it is an open-source tool, the data architecture is customizable and if you require a custom architecture, you can easily develop the code to change the way Girder works. In other words, you can fully adjust Girder to your own needs.

Girder also includes user management, authentication, and authorization management so you won’t ever have to worry about the safety of your data when imported.

This tool is also compatible with many plugins that can help you modify the way Girder stores and manages your data without having to code everything by yourself.

8.

iRODS is made with the mission to provide an all-in-one yet versatile data management system. Therefore, iRODS is based on four core principles which include:

They were fully aware of the need for an all-in-one data management system where you won’t only be able to store all your data in an easy-to-view way.

iRODS managed to accomplish that, but it also introduced seamless data discovery where the biggest benefit is workflow automation.

Data can often bring down many businesses and yet iRODS is working hard to provide a solution.

Therefore, iRODS is a great fit for almost any company (of any size) including researchers, commercial use, and even governmental organizations all around the world.

Once you import your data (virtualize it) into iRODS, you will be able to take control of your data, discover the ways it can be used, how it can benefit your business, but most importantly, have your data stored on one device and yet have it accessible to everyone on your team.

iRODS is currently being used by some of the largest brands and companies in the world such as DDN, Western Digital, Suse, Softiron, Quebec library, OpenIO, and many others.

9.

Rucio is based on all scientific studies on data and it is one of only a couple of scientific data management tools.

Whether you’re a community, organization, a small company, or the largest enterprise in the world, Rucio can help you manage your data in one place, get the most out of it, and have your own data work in your favor.

Rucio is one of the most elaborate data management systems that is ideal for everyone who loves learning visually as Rucio takes your data and teaches you everything about it through .

I should also mention that Rucio is policy-driven and it is an extremely scalable data management tool that can help you manage your data the way you want.

Some of the most beneficial features of Rucio include a smart namespace that improves data organization, storage support, authentication and authorization, and effortless monitoring.

Rucio is an open-source-based tool and it has been written in the Python language which leaves plenty of room for custom upgrades and improvements to fit your business needs.

It’s very easy to integrate Rucio through existing applications so your workflow system won’t disrupt the way your business collects data.

Consistency and proven track record are of huge importance since data is lost daily and Rucio is always prepared to have your back, no matter how small or big the data is.

10.

Kylo is a lightweight open-source data management system that allows you to input your data and sort it in a preferred hierarchy.

It features almost everything even a large enterprise would need to manage their data efficiently. Kylo is also proud to announce that their management system is beneficial in various industries such as airlines, insurance, financial services, retail and customer goods, banking, and even telecommunications.

Kylo isn’t afraid to think big and that’s exactly what they’re trying to help you achieve. One of the most unique features is the ability to “cleanse” your data as you import it and yet you can still benefit from automatic profiling.

Automatic profiling helps you prepare your data with the help of visual SQL and interactive interfaces.

This helps you discover your data and have a look at it from a completely different angle. Once all your in one database, with the advanced search engine, you get to explore your data by searching for metadata to check profile statistics, view lineage, and much more.

Kylo automatically monitors health and feeds which helps you to know how healthy your database is, but it can even detect issues and alert you on time before any data loss or misorganization happens.

Design is also a strong suit of Kylo as it allows users to have their data displayed in a user self-service interface so you and your team members can view the data and draw conclusions from it together.

Even if you start early and do your best to manage your data efficiently, it can easily spiral out of control if you don’t have the right tools.

There’s so much data on the planet that tools such as the best open-source data catalogs mentioned in this post help reduce the paper trail and yet still keep everything in one database that businesses can access from any device.

Data can tell you a lot, and all you have to do is “listen” to it properly.

With that being said, most of these open-source tools are free to use and are easy to integrate into your business so there’s no reason not to tighten your and use it in your favor!

Tom loves to write on technology, e-commerce & internet marketing.
Tom has been a full-time internet marketer for two decades now, earning millions of dollars while living life on his own terms. Along the way, he’s also coached thousands of other people to success.

A data catalog helps users discover, understand, trust and collaborate on data. The initiative to deploy a data catalog tool is a sign of an organization levelling up towards getting rid of data silos and enabling data democratization. More often than not in the process of evaluating the market for data catalog tools, organizations consider both open source data catalog tools and enterprise options.

A few years back, the biggest tech companies built their own data discovery and cataloging solutions that address their peculiar workflows and use cases. They also naturally worked towards innovating & solving the universal challenges of data teams - to discover, trust and understand their data. Most of these companies eventually open-sourced their data catalog software for external teams to build on top of them.

Apache Atlas is an open-source metadata management tool and governance platform that was incubated by Hortonworks under the umbrella of the .

It later joined the in 2015, where it evolved to a top-level project in 2017. Apache Atlas is widely recognized as one of the building blocks of the - owing to its early vision of using metadata to solve data cataloging, classification, discovery, governance & collaboration challenges.

Take a test drive, explore and try your hands on a modern data catalog

Amundsen is an open-source data catalog platform that was originally built by the engineering team at Lyft. It was in October 2019 a year after launching for internal use.

Amundsen enjoys a cohesive community of contributors and users. It has also been widely adopted by other organizations that have built on top of this open-source data catalog tool to further their data democratization, governance, and metadata service initiatives.

Data Catalog 3.0: The Modern Data Stack, DataOps, and Active Metadata

DataHub is an open-source metadata management platform that was developed by the LinkedIn engineering team.

It’s in fact LinkedIn’s second attempt to solve data cataloging, discovery, observability, and lineage challenges. Before DataHub, they built an open-source data catalog tool called back in 2016. DataHub was announced in 2019 and in 2020. LinkedIn maintains two different versions of DataHub - one for internal use and the other that’s open-sourced for others to build on.

Metacat is a federated metadata management service that was built at Netflix and in June 2018. Metacat is designed to make it easy to catalog, discover, process and manage data.

It primarily forms the single source of access for all data assets ranging from diverse sources at Netflix. Though Metacat is an open-source data catalog, there seems to be a lack of significant public knowledge for others to effectively use its architecture and extend it.

OpenMetadata is an open-source end-to-end metadata management solution that defines specifications to standardize metadata with a schema-first approach.

It primarily chooses to address the problem of passive metadata locked in silos, metadata duplication, and metadata that’s not interoperable.

Announced in Aug 2021, it’s released under

Primary capabilities of OpenMetadata include:

Each organization has its own evaluation criteria framework for data catalog tools depending on the core challenge that they are looking to solve - and predominant use cases. Often it's challenging to find a single open-source data catalog tool that is capable of addressing all challenges your data team faces.

We've developed a guide to help you create a customized evaluation criteria framework and get the most value from a POC (proof-of-concept) in a

It is also important to remember that most of these open source data catalog tools are made by engineers - for engineers, and they will need a significant investment of time & resources to build into a functioning data catalog tool for your organization. While you are in the evaluation process, you may also like to review off-the-shelf solutions like , which is a leap from traditional enterprise data catalog software solutions and is built on the best of open source.

Atlan Demo: Data catalog and metadata management for the Modern Data Stack

"It would take six or seven people up to two years to build what Atlan gave us out of the box. We needed a solution on day zero, not in a year or two."

Delhivery: Leading fulfilment platform for digital commerce.

Build vs Buy: Delhivery’s Learnings from Implementing a Data Catalog

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Even after years of effort and money spent, companies still don’t pass the only three tests that matter:

“Only 31.0% of companies say they are data-driven. This number has declined from 37.1% in 2017 and 32.4% in 2018. We are headed the wrong direction.”

“For every 100 employees, finding data and reproducing analysis is a $1.7M problem.”

You must be able to pass these tests to succeed, because you can’t afford to fail. The problem: Your data is meaningless to most people with business questions.

As a result, complexity skyrockets, lakes flood with meaningless data, and your people still can’t answer business questions. Garbage in, garbage out.

The more money, misinformed solutions, and supposed silver bullets you throw at data, the faster the data’s meaning declines and the less use it has to the people with business questions.

This is our current, unfortunate status quo. The solution: bridge the gap between data and meaning to create explainable data.

In fact, there are two existing technologies that, when combined, create new explainable data and rescue meaningless data from uselessness.

The first technology is the data catalog.

“Forty-seven percent of respondents report untrustworthy or inaccurate insights from analytics due to poor data quality. Only 14 percent of stakeholders had a very good understanding of the data and that less than 60 percent of the data was well understood by stakeholders.”

See how data.world can make your business data-driven

“44% of data worker time is wasted every week because of unsuccessful activities. 51% of searching activity is wasted, and 47% of preparation work is wasted.”

The second technology is the knowledge graph. What is a knowledge graph? Knowledge graphs take data clarity, accuracy, and speed to the next level. Clarity: Knowledge graphs enable explainable data, expressing it in consistent, familiar, and understandable business concepts. Data from knowledge graphs can be exported to user-preferred formats that are compatible with the tools they know. Accuracy: Knowledge graphs map meaning to data regardless of how it’s structured and where it’s located. Graph architectures are well-known for their ability to reference and collect disparate data sources, earning their spot in . Once you understand the data, you’re better equipped to evaluate its accuracy and correct errors. Speed: Don’t waste your time searching for the naming, relationships, business meaning, and quality of your data. Knowledge graphs provide one clear view of data from multiple sources, so anyone can find data-driven answers quickly by using concepts that make sense within their professional domain. Graphs are flexible by design: you can add new data with no sweat no matter how many changes your business goes through. How knowledge graphs connect data with meaning within the enterprise

If knowledge graphs are able to power the most widely-used search engine, they can definitely rise to any enterprise data challenge without disruption.

“Nine out of ten of the most value-creating companies in the world in 2018 were using knowledge graphs.”

Data catalogs powered by knowledge graphs are the future.

Your data catalog must empower your workforce so they can get more information from your data investments and make smart decisions quickly. If your data catalog can’t do that, it’s not an enterprise-ready data catalog.

How will you know which one is which? Gartner identifies  and how they differentiate themselves in the market.

“A data catalog maintains an inventory of data assets through the discovery, description, and organization of datasets. The catalog provides context to enable data analysts, data scientists, data stewards, and other data consumers to find and understand a relevant dataset for the purpose of extracting business value.”

Although data catalogs provide tons of information to your data teams, they are unable to help companies achieve self-service business intelligence on their own. As a result, building a data-driven culture becomes increasingly difficult. Many technical people hold this impression of a data catalog, but luckily there are more and newer versions available. For specific vendors or tools

Simply put, no one. Having one data catalog connected to all of your data sources with a single source of truth is much more optimal. Don’t believe us? Eckerson Group says an enterprise data catalog should work with all of your other data investments:

“The value of a seamless user experience throughout the analytics lifecycle is evident, so the trend in [data] catalog evolution is toward convergence. Most tools will mature to become fully integrated solutions supporting all three capabilities – cataloging, preparation, and analysis. Convergence, however, does not eliminate the need for interoperability, as self-service analysts often want to make their own choices of preparation and analysis tools.”

An enterprise data catalog is truly the foundation of data empowerment. It’s not just a place to index all of your information, but it can also unify your people, data, and analysis so that it is easier to build a data-driven culture.

Similarly to how Google revolutionized its search engine with the knowledge graph, you can supercharge your data culture with an .

Now that we’ve talked about the broad categories of data catalog tools, here’s how you should go about choosing one to adopt.

Learn more about data-world’s data-catalog solution

are exciting because they can democratize data across an organization. However, data is only meaningful to business decision makers if it is enriched with context, which comes from people and metadata.

Connecting data to its context is the difference between making the right or wrong decisions with data. For example, when using the imperial versus metric systems, using the wrong unit definition to hang a shelf might not be a big problem. However, this gap in understanding data and meaning is part of the reason the in 2016. Why data and analytics leaders need a data catalog spend 45 percent of their time on value creation and/or revenue generation, 28 percent on cost savings and efficiency, and 27 percent on risk mitigation, . So it’s no wonder that businesses need an enterprise data catalog for the entire workforce, because then everyone can

So what’s holding data & analytics leaders back from cracking the code and investing in a data catalog? After all, at creating a data-driven culture despite their efforts.

“Early CDOs were focused on data governance, data quality, and regulatory drivers, but today’s data and analytics leaders are becoming impactful change agents who are spearheading data-driven transformation.”

–

Data-driven transformation takes more than just data.

To drive business change, data and analytics leaders need to solve problems that come from multiple directions:

From on-premise to the cloud, to hard drives and home laptops, data lives almost everywhere. Reliable and useful data is the core of modern-day business, however, some data may not be completely accurate, and data sources may not be known. Analysis

Despite the use of analytics tools, analysis is actually a thought process that predominantly occurs in people’s minds. Therefore, nothing gets documented or reproduced. You can’t see the assumptions, data, or insights behind the discoveries that analytics generate. Since it’s not preserved, determining what data and what approach to use becomes tedious and to be repeated for every project. To treat analysis like data: archive it, catalog it, and understand it. People

Almost everyone in business works with data, but each person operates at a different level of data literacy. So to truly achieve a data-driven culture at your company, data must be accessible to everyone, not just to . Data and analytics leaders need to solve problems beyond just the technical ones. In fact, according to , “The top internal roadblock to the success of the office of the CDO is ‘culture challenges to accept change’.” Additionally, “ identify people and process issues” as the barrier to building a data-driven organization. The Harvard Business Review found that “the difficulty of cultural change has been dramatically underestimated in these leading companies — 40.3% identify lack of organization alignment and 24% cite cultural resistance as the leading factors contributing to this lack of business adoption.” It takes a village to become data-driven.

During your data culture transformation, no person can be left behind. Creating a data-driven culture requires convincing employees to adopt updated data practices, supporting cross-team collaboration, and empowering your people with data catalog products to help them work better, together. Most importantly, to foster these changes.

However, CDOs and their counterparts don’t just need any enterprise data catalog, they need one that makes data easy to find, understand, and use to drive business change.

Part of driving adoption for your data catalog is choosing the right problem to solve with it at the beginning of your launch. Here are some examples of the kinds of challenges you could solve with the right data catalog. Top data catalog example use cases There are many valuable ways to use a data catalog. Read how our have benefitted from the following use cases to help them make critical business decisions with clarity, accuracy, and speed. Close the discoverability and meaning gap with an active inventory of your assets

Finding and understanding relevant information is laborious and can cause you to miss valuable opportunities or make uninformed business decisions. This is common for companies that don’t have a well-maintained, active inventory of data and analysis.

So help your business reduce the time and labor gap between asking a question and producing an answer by inventorying your data resources, enriching them with useful metadata (meaning) and validations, and connecting them to meaningful business concepts. Reduce the relevance and reusability gaps by curating the best data and analyses

When data is disconnected from its relevant business concepts and initiatives, its context is lost. As a result, you have to start from the ground up on new analysis without building upon previous work.

Searching for the right data for an analysis can feel like being lost in a forest with no compass. So think like a cartographer and create a map of your best data with your data catalog. Because making your data assets accessible is the key to making them reusable.

This curated library of data sources can be anything from a slice of data from your data warehouse to your most popular, shared spreadsheets. Either way, the goal is to point the company to the 20% (or much less) of assets that provide 80% (or much more) of the value. Bridge the impact and reproducibility gaps through data analysis and reuse

Our work with data is meaningless if it doesn’t influence the decisions we make. This is why sharing information with stakeholders ineffectively or incompletely increases risk and slows productivity. Lost cycles may cost hundreds of thousands of dollars, but a bad decision can cost millions.

Therefore, we need to ensure IT, data stewards, data engineers, analysts, and business people are collaborating. With cross-functional collaboration, analyses can be documented and shared in a way that is agile, iterative, and easily consumable. Workflows can also be reused and reproduced easily to deliver more consistent answers. Which use case is most relevant for you?

Check out these real-life stories from data.world customers who successfully launched our cloud data catalog and saw value from these use cases.

Learn how top companies are using data.world

One of the world’s largest software companies created a business glossary and dashboard catalog.

A global management consulting company enables their data to be found faster than ever before.

This company uses our data catalog to create a curated, user-friendly data portal. Consultants are able to find the right data faster and use it more often with the organization’s new portal, which contains owned, purchased, and derived analyses. Since data.world automatically gathers context, ongoing analysis, and identifies relationships between datasets, projects, and teams, the firm’s employees are able to be more connected and efficient with data. The Associated Press uses curated datasets to transform the way news is reported.

AP and data.world make data journalism accessible by transforming the way data reaches local newsrooms. Technical users can now create and share queries faster without leaving the platform or spinning up a database. Additionally, less technical users can slice data for their local news markets without any prior coding or data science knowledge. Now with the option of exporting results in common formats, anyone can dig in and get clean data faster. Newsrooms across the country now have actionable data that can be used to inform the public on how national events affect their local communities. Mirum, a global digital experience agency, streamlines their data projects for thousands of people around the world.

With over 2,500 people in 25 countries. Data—and data-literate people—are the key to how Mirium creates unforgettable experiences for clients like Mazda and Qualcomm. With their already sophisticated approach to data analysis, Mirum wanted to take the next step and better package their data to make their expertise even more valuable.

data.world helped Mirum streamline their new data practices and improved processes seamlessly across projects and teams. Discussion—between coworkers, between agencies, and with client stakeholders—shifted from email to dedicated project comment threads. Now, the full data project lifecycle lives on a single platform, data.world. Teams at Mirum not only do the work through data.world, but deliver it to its customers through the platform as well. Mirum has always believed in data, and data.world has helped us extend its power to every aspect of client work.

Aceable, an innovative tech startup, saves time by streamlining workflows and providing self-service data access.

Aceable creates easily-consumable, mobile & digital first content for defensive driving courses. In order to recognize more revenue, they needed a quick way to retrieve data without exhausting the resources of its business analysts. With data.world, a single person at Aceable can now consume, integrate, and query the data to calculate revenue recognition. Streamlining this workflow reduces analysts’ workloads and avoids the time-intensive analysis bottleneck. Therefore, C-suite executives are able to receive important business data quicker. Ready to begin writing your own success story?

Now it’s your turn. Prepare for your data catalog launch with these tips.

See data.world stories and use-cases in action

First, work with your evaluation team and executive sponsors on determining and tracking key performance metrics, so you can measure the impact of your . Don’t skip this step! You need to welcome differing perspectives from your colleagues and align everyone around the same goal from the get-go, or you could jeopardize the launch of your data catalog.

Most importantly, you want to track the impact of your at every stage of the data lifecycle and for every role to see if it’s working. In order to do that, you need to understand how each of your teams currently work with data, what they want to improve, and how they envision that improvement to materialize from their day-to-day work.

To do that, take these three steps while launching your enterprise data catalog: Understand their unique perspectives

Data catalogs become more valuable as more people use them, so creating hype and developing buy-in is your bridge to a .

These three critical components of your measurement plan will ensure that your whole organization benefits from your enterprise data catalog pilot.

Looking beyond platform usage, be sure to also measure the impact of your data catalog on team productivity, organizational culture, and . If this seems unclear at first, don’t worry. This will be an ongoing process to refine as you grow.

Remember, you invested in a data catalog to bring people, data, and analysis together and to give employees clear, accurate, and fast answers to any business question. Design your measurement plan to reflect that.

Need advice on how to start? Try categorizing metrics in these 4 buckets as you build your measurement plan.

PRODUCTIVITY: Are you working faster and getting more done?
DATA-DRIVEN CULTURE: Are more people collaborating with data?
USAGE: Is the right data being used for the right projects?
BUSINESS: Do you have a clear way to measure impact in dollars and cents?

These categories should reflect your most important priorities as a data and analytics leader. Be sure to benchmark your current state before launching your data catalog. Productivity metrics are particularly great to record and measure from the start, since you can capture them while determining success goals and metrics with the evaluation team.

On the other hand, metrics, such as usage, will probably only be useful after you launch your , so keep that in mind as you move forward. Connect people, data, and analysis

Doing this brings you one step closer to making your organization truly data-driven. And that’s your goal, right? “As data and analytics become pervasive across all aspects of businesses, communities and even our personal lives, the ability to communicate in this language – that is, being data-literate – is the new organizational readiness factor.”

Let data.world help your business launch it’s data catalog

Given today’s challenging times, you may expect the ROI from your data initiatives to be lower than in years past. But , companies that offer a “curated catalog of internal and external data to diverse users will realize twice the business value from their data and analytics investments.” In fact, data catalogs can provide outsized impact in times where data is increasingly important.

We are seeing all kinds of businesses – from banks to restaurants to tech companies – make abrupt and, in some cases, to their operations. For companies trying to forecast sales two-quarters out or assess the stability of their supply chain, data catalogs are an incredibly effective tool for ensuring the data and metadata that support the analysis and decision making process is up-to-date, accessible, and understandable. Ready to infuse clarity, accuracy, and speed into your data work?

Want to see it for yourself? of our enterprise data catalog and see what it’s like to begin connecting your data sources and building your datasets for collaboration! Request a demo of our cloud data catalog!

We’ll show you how data.world makes it easy for everyone—not just the “data people”—to get clear, accurate, fast answers to any business question.

About data.world

data.world makes it easy for everyone—not just the “data people”—to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use. data.world is an Austin-based Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community.

See how data.world works!

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With consistently expanding floods of data accessible through the cloud, business clients need data availability and effortlessness for business insight. Data are given by a data lifecycle, including how it travels through ETL (remove, change, load), documents, reports, and databases that can assist a business with digging further to work on all parts of item life. Data lineage gives that data and the sky is the limit from there.

Data given by source following alone can work with mistake goals, process changes, and diminish the time and assets essential for unavoidable framework movements when updates become inescapable. Data quality is improved by realizing who rolled out an improvement, how something was refreshed, which cycles were utilized, and guaranteeing data generally moves through data security methods. A data lineage tool makes significant business certainty among clients.

Data lineage is particularly significant there:

As referenced over, a data catalog incorporates and binds together the metadata gathered so it very well may be imparted to IT groups and business capabilities. This bound-together perspective on data permits associations to:

A large number of datasets and resources are being made every day, undertakings end up attempting to comprehend and acquire experiences from their data to make esteem. Numerous new overviews express that data science groups invest 80% of their energy getting ready and cleaning their data as opposed to breaking down and revealing it. By sending a data catalog, the speed of data disclosure can expand up to multiple times. Along these lines, data groups can zero in on what’s significant: conveying their data projects on time.

Very much like hierarchical or corporate culture, data culture alludes to a working environment climate where choices are made through earnest and exact data confirmation. A data catalog takes into consideration data information to present not be restricted to a gathering of specialists: it empowers associations to more readily team up on their data resources

Rather than sending excessively complex cycles too challenging to even consider keeping up with on expected data, data catalogs empower a base-up, coordinated data administration approach. A data catalog empowers data clients to make a data interaction library, record lawful commitments, track the lifecycle of data, as well as distinguish delicate data. This is in a solitary concentrated storehouse.

By gathering every one of the data of a venture on a reference data tool, it becomes conceivable to cross-reference these resources and get esteem from them all the more without any problem. The coordinated effort of specialized and proficient groups inside the data catalog empowers developments that meet demonstrated market needs.

Over 70% of the committed chance to data examination is put resources into “data squabbles” exercises. Cataloging recovery, the ID of related contacts, and accordingly, data-driven navigation.

Misjudged or mistaken, undertakings open themselves to the gamble of putting together their choice concerning incorrect data. Associated data catalogs license admittance to constantly cutting-edge data. Data clients can guarantee that data and their data are correct and usable.

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Data catalogs were introduced to help data analysts find and understand data. Before data catalogs, most data analysts worked blind, without visibility into existing data sets or their contents, or the quality and usefulness of each. As a result, they spent much of their time finding data, understanding data, and recreating data sets that already existed. Data catalogs were designed to address these issues.

From modest beginnings as a means to manage data inventory and expose data sets to analysts, the data catalog has grown in functionality, popularity, and importance. Modern data catalogs still meet the needs of data analysts, but have expanded their reach. They are now central to data stewardship, data curation, and data governance. Data catalogs have become strategically important. Chief data officers (CDOs) and Chief analytics officers (CAOs) view the catalog as strategic not just for data inventory, but also for managing data assets and improving analytic quality and productivity.

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The selection of data catalog tools has grown rapidly in recent years. Several data cataloging tools are available today with new tools emerging and catalog functions being added to existing tools regularly. Data catalog tools exist today in several forms as described in the table below.

The value of a seamless user experience throughout the analytics lifecycle is evident, so the trend in catalog evolution is toward convergence. Most tools will mature to become fully integrated solutions supporting all three capabilities—cataloging, preparation, and analysis. Convergence, however, does not eliminate the need for interoperability, as self-service analysts often want to make their own choices of preparation and analysis tools.

Data catalog stakeholders span a continuum from business and data analysts to C-level executives, and catalog impacts range from day-to-day tactical activities to long-term strategic position. Choosing a catalog that meets all of the needs, addresses all of the interests, and fits your environment and culture is a big job. Usability is a paramount consideration with the variety of users and the broad spectrum of data and technical skills. Intuitive user interface and ease of use are essential to widespread catalog adoption. The twenty criteria listed here are designed to help you work systematically through the evaluation process and find the catalog best suited for your organization.

All criteria are not equally important. If practical, prioritize the criteria and assign weighting factors to align them with your organization’s needs and goals. If you’re uncertain about fully prioritizing then divide the criteria into three categories: must have, nice to have, and not important. Use the highest priority or must have criteria to qualify tools for your short list. Then use the next level of criteria to evaluate and compare tools on the short list. Carefully and systematically evaluating data catalog tools is a good investment of time. The data catalog will be with you for a long time, will affect many stakeholders, and will shape the maturity of your data management practices.

This article was originally published on Eckerson Group and re-published to TOPBOTS with permission from the author.

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Dave Wells is an advisory consultant, educator, and industry analyst dedicated to building meaningful connections throughout the path from data to business value. He works at the intersection of information management and business management, driving business impact through analytics, business intelligence, and active data management.

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Data discovery is the process of collecting and evaluating data from various sources to understand trends and patterns in the data. This understanding can then be leveraged to gain insights into performance or a platform for newer ventures and decision-making.

Data discovery, also known as data mining, can be used in the research field to discover and extract patterns in large data sets and help spot common data structures that can be brought together for more profound, insightful information.

The data discovery process usually involves methods at the intersection of machine learning, statistics, and database administration systems.

Data discovery helps organizations:

The seven best data discovery tools on this list have been selected based on the criteria below.

Some features to look out for when choosing a good Data Discovery Tool include:

The best data discovery tools

Let’s now have a detailed look at each of the seven data discovery tools:

1. Informatica

is a tool for Enterprise Data Cataloging with a broad and deep lineup of enterprise-grade data management solutions.

It has an AI-powered data catalog that scans assets across business enterprises and an array of features used to index metadata and provide detailed analysis across its databases.

It offers data discovery features like:

Try Informatica for 30 days.

2. Qlik Sense

is a data analytics and discovery tool with a broad application spectrum. It is a “modern” tool that works well in cloud computing environments.

Some of its features include:

Try Qlik Sense for .

3. Tableau

is perhaps one of the more popular tools on the list here. It is widely used and offers many ways of quickly bringing all of an organization’s data together. It is a data visualization software that focuses on business intelligence (BI).

There are more features:

Try Tableau for .

4. SyncSpider

serves to allow its users to keep using their current enterprise resource planning (ERP) systems as their primary data sources and sync data with any app. A typical scenario where this tool can be applied would be in an inventory control system that needed to remain up to date at all times.

Try SyncSpider for .

5. Nightfall

is built to discover, classify, and protect data across any app. Although it is primarily a data loss prevention () tool, it uses machine learning to find critical data that can then be used in processes like sensitive data identification, data classification, contextual search, and behavioral analytics.

But, this tool can do much more:

Try Nightfall for .

6. Osano

is also another cloud-based data privacy platform primarily designed to help businesses comply with data governance laws like General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). Meanwhile, the tool also has an AI-driven data discovery capability that quickly and automatically finds, classifies, and evaluates all data across an enterprise’s systems.

There’s more:

Try Osano for .

7. Atlan

is a fast and intuitive data discovery tool with Google-like search capabilities to find data in tables, databases quickly, and BI dashboards – or even saved queries.

It has a single search window for all data and dashboards to make information available for non-technical users to view all of their organization’s data and assets.

Looking at more features:

Try Atlan for .

Data discovery tools are a critical part of the modern business’ technology infrastructure. It is a tool everyone from the administrators in the IT department to the developers and analysis in the DevOps team and the leaders at the top can benefit from.

Also, data is the catalyst for digital transformation. An intelligent data catalog serves as the foundation for such digital transformation – and whether a business is looking to move or expand into the cloud, achieve data governance and privacy, or simply leverage all of its mission-critical data – data discovery tools will always be the enablers.

It, therefore, makes sense that businesses adopt one of the seven data discovery tools we have seen in this post.

We would like to hear your thoughts. Leave us a comment below.

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