Data Stack Index / v 02.06
Verified 2026·05·30
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Compare Same primary cluster · Catalog & discovery

Collibra vs OpenMetadata.

Collibra and OpenMetadata both anchor in catalog & discovery — 11 dimensions differ, 2 hold. Below: posture, coverage diff, and capability matrix.

Same Sales-ledCatalog & discovery (primary)
Differ on DeploymentLicenseFree tierOSS optiondbt depthOpenLineage stanceML detectiondbt-nativeAuthoring styleMonitor surfaceWarehouse coverage
01
Strategic posture

What each is betting on.

● Collibra

Independent and active as of mid-2026. Founded 2008 in Brussels by VUB researchers; one of the original category-defining governance incumbents. Itself an acquirer, not a target — Raito (access management), Husprey (SQL notebook), and Deasy Labs (unstructured/AI metadata) in 2025, on top of OwlDQ (2021, now the Data Quality & Observability module). Last disclosed private valuation USD 5.25B (2021).

● OpenMetadata

Collate founded 2021 by Suresh Srinivas (ex-Hortonworks co-founder, Hadoop committer) and Sriharsha Chintalapani (Apache Kafka and Storm PMC, ex-Uber). The OpenMetadata project was launched alongside the company. Series A $10M July 2025. Differentiator vs DataHub: deliberately simpler architecture (Postgres or MySQL + Elasticsearch — no Kafka, no graph DB) and faster shipping cadence on governance features through 2024–2025 (Multi-Domain, Data Contracts GA in 1.9, Data Quality as Code).

Each tool's current strategic narrative, verbatim from its profile.

02
Head-to-head

How each tool describes the other.

● Collibra on OpenMetadata

Collibra is the heavyweight governance incumbent, most directly cross-shopped with atlan (modern, UX-led, lower TCO), alation, and the OSS catalogs datahub and openmetadata (open, engineer-led, free self-host). It typically wins where formal governance, regulatory auditability, and single-vendor breadth outweigh developer ergonomics and price. Its data-quality module competes with monte-carlo, anomalo, bigeye, and soda, though those remain better for CI/pipeline-gating and dbt-native workflows.

● OpenMetadata on Collibra

OpenMetadata's page doesn't directly mention Collibra. See the OpenMetadata detail page.

Each quote is pulled from the named tool's own "Where it fits" write-up.

03
At a glance

Spec sheet diff.

Collibra OpenMetadata
Vendor Collibra Collate
Deployment SaaS only SaaS · Self-hosted
License Proprietary Open source
Pricing Contact sales OSS · free
Free tier No Yes
OSS self-host No Yes
dbt integration Plugin Native
OpenLineage Consumer None
Founded 2008 2021
HQ Brussels, Belgium Saratoga, CA
Authoring style SQL Code-first + GUI

Both share Primary cluster: Catalog & discovery · Status: ● active · Test paradigm: Assertion + anomaly

04
Cluster strength

Each tool's center of gravity.

Cluster Collibra OpenMetadata
Quality & testing 2/3 2/3
Catalog & discovery 3/3primary 3/3primary
Lineage & metadata 3/3 3/3

Scored 0–3 per cluster on the same rubric across all tools. A 0 means the cluster isn't the tool's focus, not that the feature is absent. See the methodology.

05
Coverage

Where they cover different ground.

Target personas
Both Data engineer · Data steward · Governance lead
Only Collibra CDO
Only OpenMetadata Analytics engineer · Platform engineer
Company size fit
Both Enterprise · Mid-market
Only OpenMetadata Scaleup · Startup
Warehouse coverage
Both BigQuery · Databricks · MSSQL · Postgres · Redshift · Snowflake · Synapse
Only Collibra Fabric
Only OpenMetadata Athena · ClickHouse · MySQL · Trino
Orchestrators
Both Airflow · dbt Cloud
Only OpenMetadata Airbyte · Dagster · Fivetran · Nifi · Prefect · dbt Core
Monitor surface
Both Warehouse column · Warehouse table
Only OpenMetadata dbt model
Alerting channels
Both Email
Only OpenMetadata Slack · Teams · Webhook
06
Declared features

The declared feature set.

4 of 8 declared features differ — listed first. These are each tool's self-declared key_features; a blank dot means undeclared, not impossible.

Feature Collibra OpenMetadata
ML Anomaly Detection Quality & testing
Schema Change Detection Quality & testing
Reverse Impact Analysis Lineage & metadata
Transformation Lineage Lineage & metadata
Data Contracts Quality & testing
Business Glossary Catalog & discovery
PII Auto-Classification Catalog & discovery
Column-Level Lineage Lineage & metadata
07
Capability matrix

Where they disagree.

Quality & testing

3 of 13 differ
Collibra OpenMetadata
dbt-native
ML anomaly detection
Root-cause UI
Both also haveSchema drift · Freshness · Volume · Custom SQL · Data contracts · Incident management · Column profiling
Neither doesPre-merge diffing · Circuit breaker · CI / CLI runs

Catalog & discovery

1 of 9 differ
Collibra OpenMetadata
Free self-host
Both also haveBusiness glossary · NL search · Data contracts · Governance flows · Access requests · PII auto-classify · Tag propagation · Ownership tracking

Lineage & metadata

0 of 7 differ

No disagreement on any of the 7 capabilities in this cluster — they match across the board.

Both also haveColumn-level · Cross-system · Reverse impact · Historical · BI lineage · Lineage API
Neither doesLineage diff
08
Verdict

When to pick each.

● Pick Collibra if

Large, regulated enterprises — banks, insurers, pharma, public sector — that need a governance-first control plane: a real CDO function, formal stewardship, a business glossary, policy enforcement, and auditable lineage for regulations like BCBS 239, GDPR, SOX, HIPAA, and the EU AI Act. Collibra is strongest where governance process and accountability matter more than developer ergonomics, and where a single vendor for catalog plus governance plus lineage plus data quality plus AI governance is preferred over best-of-breed point tools.

● Pick OpenMetadata if

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.

09
Strengths

What each does best.

Collibra stands out for

  • [+] The deepest governance and stewardship tooling in the cluster — a configurable workflow engine, business glossary, policies, ownership, and audit trails purpose-built for regulated enterprises
  • [+] Broad single-vendor footprint — catalog, lineage (table and column, OpenLineage-aware), an ML data-quality module (from the OwlDQ acquisition), privacy, and AI governance under one platform
  • [+] Strong automated lineage with root-cause and downstream impact analysis at table, column, and report level, with in-line transformation context
  • [+] A mature, analyst-recognised leader with 100+ catalog integrations and a large regulated-enterprise customer base

OpenMetadata stands out for

  • [+] 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)
10
Other alternatives

Tools both also compete with.

A note on this comparison.

Every capability value above traces to Collibra or OpenMetadata's own structured spec, which links back to its source — nothing here is averaged or smoothed across the two.

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