SQL Server
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Vertica
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.
SAP Data Intelligence
SAP Data Intelligence provides metadata management, data catalog and data governance functionality. The tool uses metadata crawlers to explore, classify, and label data assets across your connected landscape. It also enables you to review transformation history and metadata to quickly understand how, where, and why data has been altered.
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Google Cloud 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
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
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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Sidecar
Sidecar data management solution is a modern, intuitive and comprehensive tool to discover, classify and enrich all your data assets. Automatically index all the metadata in a centralized repository and provide a clear view of the complex and fragmented data management environments to your data consumer. With the Business Glossary capabilties, you can easily enrich all your data assets with business context, clear definitions, rules and transformations. Foster team work among the user community by exchanging ideas on the data assets with the collaboration tool. Add custom tags and classifications to organize your assets and manage your sensitive data to comply with GDPR, HIPAA, CPRA, etc... Data consumers will spend less time searching for the right data and focus on delivering faster insights.
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Alation Data Catalog
Alation increases the value of your metadata with machine learning, automation, and human knowledge. Hundreds of organizations use Alation to power metadata solutions, such as analytics, data governance, privacy, risk & compliance, and cloud migration.
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GenMyModel
GenMyModel supports database documentation on top of a metadata repository that allows users to collaboratively capture, catalog, describe and classify metadata in the dictionary, build business glossaries using Rstandard E/R diagrams and share and circulate documentation under various formats including online HTML pages easily to access.
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Select Star
Select Star automatically catalogs & documents your database tables and BI dashboards. You can find out where your data is coming from, which dashboards are built on top of it, who is using the data, and how they are using it.
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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.