OpenMetadata

What it does

AI features

OpenMetadata offers a native MCP server, an AI SDK, and a Context Center for articles, documents, and memories.checked 7 Oct 2026

Authentication

The deployment security guide lists Google, Okta, custom OIDC, Auth0, Azure, Amazon Cognito, and OneLogin identity providers, and says simultaneous use of multiple authentication mechanisms is unsupported.checked 7 Oct 2026

Business meaning

Glossary terms, metric definitions, and relationships using RDF, OWL, DCAT, and Schema.org provide shared business meaning.checked 7 Oct 2026

Catalog and governance

The platform includes data cataloging, discovery, governance, data quality, observability, lineage, semantics, and memory.checked 7 Oct 2026

Community

The site lists 14,000+ open-source members and 450+ code contributors.checked 7 Oct 2026

Deployment

Users can deploy OpenMetadata in their own environment, try a live sandbox with demo data, or sign up for a free cloud service with their own data.checked 7 Oct 2026

Extensibility

The schema-first architecture includes 700+ open specifications in JSON Schema and RDF/JSON-LD.checked 7 Oct 2026

Integrations

Its ingestion framework supports connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake, and Tableau.checked 7 Oct 2026

Knowledge graph

Its graph captures schemas, tables, columns, dashboards, pipelines, ML models, owners, lineage, and classifications.checked 7 Oct 2026

Purpose

OpenMetadata unifies technical context, business semantics, and organizational memory in a knowledge graph for people and AI agents.checked 7 Oct 2026

Security

The documentation describes Fernet encryption for stored passwords and connection secrets, SSL/TLS connections, and external secrets manager support.checked 7 Oct 2026

System architecture

The product site describes a streamlined architecture with four system components, designed for technical and non-technical users.checked 7 Oct 2026