Data Stack Index / v 02.06
Verified 2026·05·08
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Catalog & discovery · primary SaaS · Self-hosted Open source

OpenMetadata.

Collate
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.

Capability profile Quality 2/3 Catalog 3/3 primary Lineage 3/3
Annual cost
Free open source · self-hosted
Deployment SaaS · Self-hosted
License Open source
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.
dbt integration Native
Persona data engineer · platform engineer
Company size startup → scaleup → mid market → enterprise
Warehouses snowflake · bigquery · redshift · databricks +7
OpenLineage none
01
Verdict

Where it fits — and where it doesn't.

● Ideal for

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.

○ Avoid if

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.

02
Strengths & weaknesses

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
03
Editorial

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.

04
Capability spec

All capabilities by cluster.

Quality & testing

Secondary · strength 2/3
01 dbt-native
02 ML anomaly detection — not supported
03 Assertion-based testing
04 Pre-merge diffing — not supported
05 Schema drift detection
06 Freshness monitoring
07 Volume monitoring
08 Custom SQL checks
09 Circuit breaker — not supported
10 Data contracts
11 Column profiling
12 Runs in CI — not supported
13 Root cause analysis — not supported
14 Incident management
Test authoring code first plus gui
Paradigm both
Monitors at warehouse table · warehouse column · dbt model
Alerting slack · email · webhook · teams

Catalog & discovery

Primary · strength 3/3
01 Business glossary
02 Glossary linked to assets
03 Natural language search
04 Ownership tracking
05 Data contracts
06 Governance workflows
07 Access request workflow
08 PII auto-classification
09 Tag propagation
10 Free self-hosted
Metadata ingestion pull connectors
Search approach hybrid
Connectors 120+
Asset types tables · columns · dashboards · reports · dbt models · dbt metrics · dbt sources · ml features · ml models · pipelines · topics · files · api endpoints · glossary terms

Lineage & metadata

Secondary · strength 3/3
01 Cross-system lineage
02 Upstream source lineage
03 Impact analysis
04 Reverse impact analysis
05 Historical lineage
06 Lineage API
07 Lineage diff — not supported
Granularity column level
OpenLineage none
Extraction sql static analysis · query log parsing · dbt manifest · plugin instrumentation · api push
05
Warehouses & integrations

Where it plugs in.

Native warehouse support

snowflakebigqueryredshiftdatabrickspostgresmysqlmssqlclickhousetrinoathenasynapse

Orchestrators & pipeline tools

airflowdbt-coredbt-clouddagsterprefectfivetranairbytenifi
01dbt — Native
02Airflow — Native
03OpenLineage — none
04API access — full
05Terraform provider
06Public SDK — python, java
06
Pricing

The honest pricing breakdown.

Pricing model open core
Charged per custom
Published ○ Contact sales required
Free tier ● Yes
OSS self-host ● Available

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 →

07
Notable missing

What it doesn't do.

08
Strong at

Drill into one capability.

Other key features

09
Alternatives & migrations

If not OpenMetadata, then what?

Common alternatives

DataHub → Best-in-class column-level SQL lineage parser (SQLGlot-based, benchmarked at 97–99% accuracy on standard corpora) ↔ OpenMetadata vs DataHub
Atlan → Polished UX and onboarding — consistently scores top in analyst rankings on time-to-value relative to peers ↔ OpenMetadata vs Atlan
Amundsen → Pioneered usage-ranked, search-first discovery — PageRank-style ranking from query logs remains a genuinely good idea that successors copied ↔ OpenMetadata vs Amundsen
Apache Atlas → Classification propagation via lineage plus Apache Ranger integration — tag-based access control and data masking enforced on the data itself, not just documented in the catalog ↔ OpenMetadata vs Apache Atlas
See all 9 OpenMetadata alternatives, scored and compared →
10
Common questions

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.

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Provenance.

Last verified 2026·05·08 against vendor documentation and, where possible, hands-on trial. Spot something off? Send a correction →

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