Metadatahub

Metadatahub is a centralized metadata management platform designed to collect, organize, and expose metadata about data assets across an organization. It aims to improve data discovery, lineage, governance, and collaboration by providing a single, navigable view of assets and their relationships.

It typically ingests metadata from diverse sources—relational and NoSQL databases, data lakes, data processing pipelines, BI tools, and external catalogs—and stores it in a metadata store. A catalog or search layer indexes metadata to support fast discovery, while a lineage component tracks data origin and transformations.

Key features include metadata ingestion and normalization, asset registration, search and discovery, data lineage and provenance, versioning and change tracking, data quality indicators, tagging and annotations, access control, and audit trails. APIs and SDKs enable programmatic access for automation.

Metadatahub often supports open standards and interoperability, such as DCAT, schema.org, or ISO/IEC 11179, and provides mappings to enterprise data models. It can integrate with data governance tools, data catalogs, and security systems to enforce policies.

In governance contexts, metadatahub supports stewardship workflows, approvals, and impact assessments for proposed data assets and changes. It is used to satisfy compliance requirements, improve reuse of data assets, and support analytics teams.

Common alternatives and related projects include open-source data catalogs and metadata platforms like Apache Atlas, Amundsen, and DataHub, which offer similar capabilities and may be adopted or extended to fit organizational needs.