OpenMetadata.
Founded 2021 · Saratoga, CA
Status · ● active
Verified · ● 2mo ago
Apache-2.0 unified metadata platform with a deliberately simple stack — discovery, lineage, quality, and contracts in one project.
Where it fits — and where it doesn't.
Teams that want an OSS catalog without the operational weight of DataHub's Kafka and graph-DB architecture.
OpenMetadata's simpler stack — Postgres or MySQL plus Elasticsearch, no graph DB, no Kafka — makes it materially easier to stand up and keep alive. Particularly strong for shops that want one tool to cover discovery, governance, lineage, profiling, and quality together rather than glue several together. Connector breadth (120+) is the highest of the OSS catalogs, and the cadence of governance features in 2024–2025 (Multi-Domain, Data Contracts GA in 1.9, Data Quality as Code) has been faster than the competition.
You explicitly need OpenLineage interoperability — OpenMetadata uses its own metadata standard and lineage spec, and is not a first-class OpenLineage consumer the way DataHub and Atlan are.
Avoid also if your data platform is built around Kafka-style metadata events; the deliberate pull-only architecture is a fit-or-not decision. Finally, avoid if you want a vendor with deep enterprise GTM muscle and ten-figure customer logos — Collate is a smaller, newer company than Atlan or even Acryl/DataHub.
The honest scorecard.
- Highest connector count in the OSS catalog space (120+) — particularly strong on dashboards, ML, and pipeline systems
- Deliberately simple architecture (no Kafka, no graph DB) makes self-hosting realistic for smaller platform teams
- Unified scope — discovery, lineage, governance, quality, contracts, and collaboration in one project, not a constellation of subsystems
- Faster shipping cadence on governance features through 2024–2025 (Multi-Domain, Data Contracts GA, Data Quality as Code, Auto-Tune)
- Founders bring deep open-source data-infrastructure pedigree (Hadoop, Kafka, Apache Atlas, Uber Databook)
- No OpenLineage consumer — uses its own internal lineage spec; cuts against current interop trends
- Smaller managed-vendor scale than Atlan or Acryl/DataHub (Collate raised a $10M Series A in 2025)
- Pull-only ingestion is a deliberate choice but limits real-time metadata patterns
- SQL lineage parser benchmarks below DataHub's SQLGlot-based parser
- Less mature AI-agent / MCP story than DataHub or Atlan in 2026
What OpenMetadata actually is.
What OpenMetadata actually is
OpenMetadata is the Apache-2.0 metadata platform with the simplest operational footprint of the OSS catalogs: Postgres or MySQL plus Elasticsearch, full stop. No Kafka, no graph database, no separate ingestion service to keep alive. That choice is deliberate, and it’s the single biggest reason OpenMetadata gets adopted by teams who don’t have the platform-engineering bandwidth for DataHub.
Around that core, the project ships an unusually wide unified scope — discovery, column-level lineage, business glossary, governance workflows, data quality as code, data contracts, and collaboration — in one codebase. Connector breadth is the highest of the OSS catalogs at 120+, and the shipping cadence through 2024–2025 has been notably faster than the competition: Multi-Domain in 1.7, Data Contracts GA in 1.9, Data Quality as Code rolling out alongside.
Where it fits against the alternatives
Against datahub, the trade is architecture and shipping velocity. DataHub has the stronger SQL parser and the more event-native architecture; OpenMetadata has the simpler stack to operate and the faster governance feature cadence. Engineering-led shops tend to pick DataHub; steward-led and operationally-constrained shops tend to pick OpenMetadata.
Against atlan, OpenMetadata is the OSS counterpoint. Atlan has the more polished UX, the deeper lineage signal mix, and the bigger enterprise GTM; OpenMetadata has the open license, the simpler stack, and a credible OSS-to-managed graduation through Collate. The cost-of-ownership math usually favours OpenMetadata for teams that can self-host.
For the data-contracts story specifically, OpenMetadata’s 1.9 GA contracts feature competes directly with soda and Atlan. The trade is contract-as-code-vs-catalog: Soda’s contracts live in YAML and enforce at runtime; OpenMetadata’s contracts live in the catalog and are surfaced alongside discovery. Mature stacks pair them.
On the OpenLineage gap
The one significant interoperability hole is OpenLineage. DataHub and Atlan are both OpenLineage consumers; OpenMetadata uses its own internal lineage spec. The community has discussed adding OpenLineage support but, as of mid-2026, it is not a first-class capability. For organisations actively standardising on OpenLineage events as the metadata interchange format, this is a real consideration; for those using catalog-native lineage extraction, it doesn’t matter.
How to evaluate it
The honest test is to stand up the OSS in an afternoon — the simpler stack means this is a realistic claim — and connect three or four of your existing systems (warehouse, dbt, BI, an orchestrator) to see how the metadata, lineage, and quality features render. Look at: did the connectors pull cleanly, was the column-level lineage accurate enough to trust, and did the steward-facing UI feel usable to non-engineers? OpenMetadata’s value proposition rests on the claim that one project can credibly cover catalog plus quality plus contracts; the honest test is whether all three feel real to the people who would actually use them.
All capabilities by cluster.
Quality & testing
Secondary · strength 2/3Catalog & discovery
Primary · strength 3/3Lineage & metadata
Secondary · strength 3/3Where it plugs in.
Native warehouse support
Orchestrators & pipeline tools
The honest pricing breakdown.
Free tier OpenMetadata is fully free under Apache-2.0; self-host with your own infrastructure. Collate (managed) advertises a free entry tier with limited deployment scale.
Sales-only tier Collate (managed)
Full OpenMetadata pricing breakdown — model, cost factors, alternatives by price →
What it doesn't do.
Emits and consumes OpenLineage events as a first-class citizen rather than via a plugin or adapter. Signals commitment to interoperability with other metadata tooling — Marquez, OpenMetadata, Astronomer, and others can consume the same event stream. Increasingly the differentiator between "open" and "proprietary metadata model" observability platforms.
Pre-Merge Diffing →Compares the output of a model change against production before the pull request is merged — showing row-level and aggregate differences. Shifts data quality left into the development workflow. Datafold is the category-defining tool here; dbt's own cloud offering has added similar capabilities. Requires production-scale compute on a development branch, which has cost implications.
ML Anomaly Detection →Uses machine learning models trained on historical data to detect values, volumes, or distributions outside expected bounds — without requiring the user to write explicit assertions. Reduces the "I didn't know to test for that" class of incident. Trade-off: requires a training window (typically two to four weeks), can produce false positives on seasonal data, and doesn't replace assertions for business-rule validation.
Drill into one capability.
Other key features
If not OpenMetadata, then what?
Common alternatives
Quick answers.
- Is OpenMetadata open source?
- Yes. OpenMetadata is open source under the Apache-2.0 license, and can be self-hosted at no license cost.
- How much does OpenMetadata cost?
- OpenMetadata does not publish list pricing — it is sales-led, so you request a quote. A free tier is available: OpenMetadata is fully free under Apache-2.0; self-host with your own infrastructure. Collate (managed) advertises a free entry tier with limited deployment scale.
- How is OpenMetadata deployed?
- OpenMetadata can run as managed SaaS or be self-hosted.
- Does OpenMetadata work with dbt and my warehouse?
- It has a native dbt integration. OpenMetadata supports snowflake, bigquery, redshift, databricks, postgres, plus 6 more.
More catalog & discovery tools
Provenance.
Last verified 2026·05·08 against vendor documentation and, where possible, hands-on trial. Spot something off? Send a correction →