Metadata Management tools

List of metadata management tools

Metadata management tool is a solution that supplements the data stored by the enterprise environment with useful information. Proper metadata management is a crucial factor to make information searchable, easy to locate and understand. Such tools add meaningful context to raw data, making it convenient to discover even by non-IT members of an organization.

Dataedo

https://dataedo.com/product

Dataedo allows companies to catalog their data (relational and noSQL) in central metadata repository in a matter of minutes, annotate each data asset, extract and document table relationships, build Business Glossary and map it to Data Dictionary, classify sensitive data, visualize data models with ER Diagrams and share documentation with data community in interactive web portal or HTML exports.

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Io-Tahoe

https://io-tahoe.com/

Io-Tahoe is an enterprise smart data discovery and AI-driven data catalog product that enables enterprises to accelerate to next-generation data management practices, radically improving data governance and regulatory compliance. It automatically discover data relationships across the enterprise and identifies changes and trends within a data source over a period of time, leveraging Io-Tahoe’s smart data discovery capability to assess changes to metadata.

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Adaptive Metadata Manager

https://www.adaptive.com/products/metadata-manager/

Adaptive Metadata Manager comprises a number of highly configurable software components that provide an organization with the eight-core capabilities required to govern and improve virtually any data-driven business capability. These capabilities are: Data Lineage, Data Quality, Impact Analysis, Business Terminology, Business to Technical Traceability, Version Management, Change Approval Workflow, Stewardship, and Automated Harvesting & Stitching.

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TopBraid EDG–Metadata Management

https://www.topquadrant.com/products/topbraid-edg-metadata-management/

TopBraid EDG-Metadata Management (TopBraid EDG-MM) lets organizations govern information about their data assets, software applications, infrastructure, business capabilities, and processes. It is key to managing enterprise data as assets and to understanding the lineage of the data and its metadata.

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Alteryx Connect

https://www.alteryx.com/solutions/analytics-need/data-discovery-management/metadata-management

Alteryx provides metadata management that natively extracts and refreshes field names, schemas, and more to speed integration and flex with change. It automatically loads field names, types, objects, schemas, and relationships from common sources to speed analytics and cataloging. 

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Google Cloud Data Catalog

https://cloud.google.com/data-catalog

Google Cloud Data catalog is a fully managed and highly scalable data discovery and metadata management service that empowers organizations to quickly discover, manage, and understand all their data in Google Cloud. It offers a simple and easy-to-use search interface for data discovery, a flexible and powerful cataloging system for capturing both technical and business metadata.

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Tree Schema

https://treeschema.com/

The Tree Schema data catalog provides all of the essential metadata management capabilities including rich-text documentation, data lineage, assigning data stewards and technical owners to your data assets, tagging your assets and much more. You can point Tree Schema to your database and fully populate your catalog in under 5 minutes.

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Atlan

https://atlan.com/

Atlan ML driven metadata management approach automatically scans, discovers and tags data assets across your data ecosystem and constructs relationships via SQL parsing, and a bot based ecosystem. This knowledge graph engine, then manifests in an easy to use data discovery tool, data catalog and business glossary that allows data consumers to find, understand and trust data in one collaborative workspace.

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Metadata management tools are usually multifunctional programs that provide a wide spectrum of usability. They include functionalities such as:
• Data catalog,
• compatibility with multiple connectors, making the tool a single source of truth about the data from different repositories,
• Business glossary,
• Data lineage,
• Data profiling,
• Impact analysis,
• Metadata ingestion and translation.

From the organization's point of view, the ability to export the created documentation into user-friendly formats is also important. What is more, some of the tools offer a community module, which facilitates the information flow.

Metadata management solutions oversee data across its entire lifecycle. This typically covers four primary areas: data analysis, data value, data governance, risk and compliance.

 Proper metadata management implementation allows for standardized metadata definitions, management, and maintenance of information across the organization for greater business efficiency. 

 Today, as data becomes increasingly important to the growth of company performance, choosing the right way to manage it is equally essential.

To help you find the right tool for your organization, we have put together this list of best metadata management solutions.