Technology

OpenMetadata

An open-source metadata platform providing a centralized catalog for data discovery, quality, lineage, and governance across S3-based data lakes and lakehouses.

9 connections3 resources

Summary

What it is

An open-source metadata platform providing a centralized catalog for data discovery, quality, lineage, and governance across S3-based data lakes and lakehouses.

Where it fits

OpenMetadata sits in the governance and discovery layer above S3 storage and query engines. It ingests metadata from Iceberg tables, Spark jobs, Airflow DAGs, and other tools to provide a unified view of what data exists, who owns it, and how it flows through the organization.

Misconceptions / Traps

OpenMetadata is a metadata platform, not a query engine or catalog. It discovers and displays metadata from external systems (Glue, HMS, Iceberg catalogs) but does not replace them.
Data quality checks in OpenMetadata require configuring profiler workflows. The platform does not automatically validate data without explicit setup.
Deploying OpenMetadata requires running its own backend services (API server, database, Airflow for ingestion). It is not a lightweight tool.

Key Connections

scoped_to Metadata Management — centralized metadata discovery and governance
enables Audit Trails — tracks metadata change history
alternative_to DataHub, Apache Atlas — open-source metadata platform alternatives
depends_on AWS Glue Catalog, Hive Metastore — ingests metadata from catalogs

Definition

What it is

An open-source metadata platform that provides data discovery, lineage, quality, and governance for S3-based data lakes and lakehouses. Ingests metadata from catalogs, query engines, and pipelines to build a unified metadata graph.

Why it exists

As data lakes grow, teams lose track of what data exists, where it came from, who owns it, and whether it is trustworthy. OpenMetadata centralizes this information with automated metadata ingestion from S3-based sources.

Primary use cases

Data discovery and cataloging for S3 lakehouses, automated lineage tracking, data quality monitoring, governance and ownership management.

Recent developments

Latest signals

Latest release: 1.13.3 (August 2026). Succeeds 1.13.0 (GA June 8, 2026), which added MCP Services as a first-class service category plus Knowledge Graph / RDF support; 1.12.x remains a maintained patch line for teams not yet on 1.13. Per open-metadata/OpenMetadata releases.
Operational metrics: 94.7% issue-resolution rate, 0.9-hour median PR merge time. Per a 2026 OpenMetadata project-health review, the team posts a 94.7% issue resolution rate and a 0.9-hour median PR merge time. For organizations evaluating community responsiveness as a procurement criterion, these are unusually fast numbers — and they map onto the "younger but actively maintained" framing that OpenMetadata occupies vs the older DataHub project (which has 11,600+ stars and a three-year head start on forks: 3,457 vs OpenMetadata's lower count).
Honest caveats from independent reviews. Per a 2026 OpenMetadata open-source data-catalog review, the main operational caveat is UI performance at scale — lineage graphs with 500+ nodes can become slow to render in browser. Also flagged: less battle-tested at extreme scale relative to DataHub. Decision framing for 2026: OpenMetadata wins on developer velocity and recent-feature-investment; DataHub wins on production-tested-at-scale references.
A critical auth-bypass (CVE-2026-26010) leaked ingestion-bot JWTs via /api/v1/ingestionPipelines, letting any authenticated user impersonate the ingestion service; patched in 1.11.8. Per CVE-2026-26010 — SentinelOne Vulnerability Database.
April 2026: GitHub Trending #1 globally, Linux Foundation membership, and OSI standard adoption for OpenMetadata Standards v1.13 capped a six-month momentum run that also included the Metadata AI SDK and MCP server. Per Pebblous — OpenMetadata Completes the AI Ready Data Stack.
A published EKS benchmark against 2M assets and 5.8M tags (15M+ relations) held GET under 400ms and PATCH under 600ms at up to 1,000 concurrent Locust users, with zero failed requests — a concrete scale data point against the "less battle-tested than DataHub at extreme scale" caveat already noted. Per OpenMetadata — Supporting Millions of Data Assets & Relations.
Data contracts (introduced in 1.8) gained catalog-scheduled enforcement after ingestion as of 1.10+, positioning OpenMetadata as one of three viable data-contract enforcement layers alongside shift-left tools (datacontract-cli) and streaming enforcement (Redpanda/Confluent). Tertiary source. Per Zircote — Most Data Contract Tools Don't Enforce Contracts.