OpenMetadata
ActiveDescription
OpenMetadata is a unified metadata platform for data and AI, providing data asset discovery, lineage, governance, and agent context retrieval capabilities.
Key Features
- Unified metadata model — One-stop management of tables, columns, metrics, dashboards, pipelines, and ML models
- Automatic lineage — End-to-end data lineage across databases, BI tools, and orchestration platforms
- Data quality SLA — Built-in data quality testing framework with rules, SLA alerts, and failure tracking
- Data asset discovery — Full-text and column-level search so agents can find the right tables and columns as context
- Collaboration and governance — Glossary, tags, classifications, RBAC, and audit logs
- Agent / LLM integration — Provides APIs and metadata embeddings to feed data catalog context to agents
Use Cases
💡 Provide a unified data asset retrieval layer for RAG agents so LLMs can find the right business tables and column definitions
💡 Track cross-team data lineage to locate the source of data errors in agent decision chains
💡 Govern LLM training data and feature stores for compliance and traceability
💡 Centralize metrics and dashboards so agents reference consistent metric definitions when answering business questions
💡 Use metadata APIs to let AI workflows access structured data context and descriptions
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (14.9k stars)
- • Permissive open-source license (Apache-2.0)
- • Established track record (5 years in production)
⚠️ Limitations
- • High issue backlog (836 open issues)
Categories
Quick Start
git clone https://github.com/open-metadata/OpenMetadata
cd OpenMetadata
docker compose -f docker/docker-compose-quickstart/docker-compose.yml up -d
# Visit http://localhost:8585 and log in with admin@openmetadata.org / admin
# Use the Python SDK to ingest a metadata entity
pip install openmetadata-ingestion