OpenMetadata

OpenMetadata is an open-source AI context layer that unifies data cataloging, governance, and lineage into a knowledge graph for humans and AI agents.

OpenMetadata is an open-source platform that functions as an AI context layer by consolidating metadata, semantics, and organizational memory. It builds a knowledge graph from data schemas, dashboards, pipelines, and ML models, providing a shared foundation for both human teams and AI agents. The platform supports over 130 data connectors, including services like Snowflake, Databricks, BigQuery, and Tableau, to ingest metadata into a unified system. Its schema-first architecture uses JSON Schema and RDF/JSON-LD to make metadata programmable and extensible. Built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook, it targets data engineers and governance teams who need to manage data quality, observability, and lineage at scale.

OpenMetadata at a glance

Best for: Software engineer, Founder
Runs on: open source, self-hosted
Pricing: Free SaaS service available; self-hosted option also available.
Released: August 2021
Category: AI coding tool
Website: open-metadata.org

Key features

Automated data cataloging and discovery
Data lineage tracking across pipelines and tables
Metadata ingestion from 130+ data services
Knowledge graph for business semantics and definitions
Audit records for changes, decisions, and approvals
Native MCP server and AI SDK support
Data quality and observability monitoring

Use it for

Managing enterprise data governance and compliance
Providing context for AI agents acting on data
Visualizing data lineage across complex pipelines
Collaborating on data definitions and business glossaries

Alternatives to OpenMetadata

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All OpenMetadata alternatives