Apache Atlas vs OpenMetadata.
Apache Atlas and OpenMetadata both anchor in catalog & discovery — 4 dimensions differ, 4 hold. Below: posture, coverage diff, and capability matrix.
The ASF's Hadoop-native metadata framework — typed entities, classification propagation via lineage, and Ranger-enforced policies.
Apache-2.0 unified metadata platform with a deliberately simple stack — discovery, lineage, quality, and contracts in one project.
Organisations running Hadoop-era estates — Hive, HBase, Kafka, Impala — especially on Cloudera Data Platform, where Atlas ships as the embedded governance layer.
Teams that want an OSS catalog without the operational weight of DataHub's Kafka and graph-DB architecture.
What each is betting on.
Born inside Hortonworks' Data Governance Initiative (announced December 2014, with enterprise partners), entered the Apache Incubator in May 2015 and graduated to a top-level ASF project in June 2017. Today it survives primarily as the governance layer embedded in Cloudera Data Platform, and as the foundation of Microsoft Purview's Data Map, which is based on Atlas and supports Atlas APIs. Release cadence has slowed markedly: 2.3.0 (Dec 2022), 2.4.0 (Jan 2025), 2.5.0 (Apr 2026).
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.
How each tool describes the other.
Against datahub, Atlas is the prior generation of the same idea — typed entity model, Kafka-borne metadata events — with the stronger security-enforcement story and the far weaker modern-stack coverage. Against openmetadata, the connection is literal: OpenMetadata's founding team includes Atlas veterans, and the project is in many ways Atlas rebuilt for the cloud-warehouse era, with 120+ connectors and a simpler stack. Against amundsen, the contrast is purpose — Amundsen is discovery-first and lightweight, Atlas is governance-first and heavy. Teams leaving Hadoop generally migrate to DataHub or OpenMetadata rather than extending Atlas.
OpenMetadata's page doesn't directly mention Apache Atlas. See the OpenMetadata detail page.
Each quote is pulled from the named tool's own "Where it fits" write-up.
Spec sheet diff.
| Apache Atlas | OpenMetadata | |
|---|---|---|
| Vendor | Apache Software Foundation | Collate |
| Deployment | Self-hosted only | SaaS · Self-hosted |
| Pricing | OSS · paid tiers | OSS · free |
| dbt integration | None | Native |
| Founded | 2015 | 2021 |
| HQ | — | Saratoga, CA |
Full Apache Atlas pricing → Full OpenMetadata pricing →
Both share Primary cluster: Catalog & discovery · License: Open source · Free tier: Yes · OSS self-host: Yes · OpenLineage: None · Status: ● active
Each tool's center of gravity.
| Cluster | Apache Atlas | OpenMetadata |
|---|---|---|
| Quality & testing | 0/3 | 2/3 |
| Lineage & metadata | 2/3 | 3/3 |
| Catalog & discovery | 3/3primary | 3/3primary |
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.
Where they cover different ground.
The declared feature set.
4 of 6 declared features differ — listed first.
These are each tool's self-declared key_features; a blank dot means
undeclared, not impossible.
| Feature | Apache Atlas | OpenMetadata |
|---|---|---|
| Data Contracts Quality & testing | ||
| Schema Change Detection Quality & testing | ||
| PII Auto-Classification Catalog & discovery | ||
| Table-Level Lineage Lineage & metadata | ||
| Business Glossary Catalog & discovery | ||
| Column-Level Lineage Lineage & metadata |
Where they disagree.
Catalog & discovery
5 of 9 differ| Apache Atlas | OpenMetadata | |
|---|---|---|
| NL search | ||
| Data contracts | ||
| Governance flows | ||
| Access requests | ||
| PII auto-classify |
Lineage & metadata
3 of 7 differ| Apache Atlas | OpenMetadata | |
|---|---|---|
| Reverse impact | ||
| Historical | ||
| BI lineage |
When to pick each.
Organisations running Hadoop-era estates — Hive, HBase, Kafka, Impala — especially on Cloudera Data Platform, where Atlas ships as the embedded governance layer. The pairing with Apache Ranger is the reason to choose it: classify a column PII in Atlas and Ranger enforces masking and access policies on the actual data, with classifications propagating automatically through lineage as data moves. That metadata-driven-security loop is still the strongest in open source. Also relevant for teams building against Microsoft Purview, whose Data Map is based on Atlas and supports Atlas APIs — the type system and REST surface transfer directly. Vendor-neutral ASF governance and a genuinely complete Apache-2.0 codebase (no open-core split) round out the case.
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.
What each does best.
Apache Atlas stands out for
- 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
- Rigorous typed metadata model (types, entities, first-class relationships) that handles technical and business metadata in one graph
- Vendor-neutral ASF governance and a complete Apache-2.0 codebase — no managed tier holding features back
- Column-level lineage for Hive and Impala, captured in real time by hooks since the 0.8 line — mature and battle-tested within its ecosystem
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)
Tools both also compete with.
All Apache Atlas alternatives, scored →All OpenMetadata alternatives, scored →
A note on this comparison.
Every capability value above traces to Apache Atlas 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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