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

OpenMetadata vs Secoda.

OpenMetadata and Secoda both anchor in catalog & discovery — 4 dimensions differ, 3 hold. Below: posture, coverage diff, and capability matrix.

Same SaaS · Self-hostedSales-ledCatalog & discovery (primary)
Differ on LicenseFree tierOSS optionWarehouse coverage
01
Strategic posture

What each is betting on.

● 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).

● Secoda

Acquired by Atlassian; announced via Secoda's blog (Dec 4, 2025) and reported by TechTarget (Dec 5, 2025). Terms undisclosed. Atlassian plans to fold Secoda's semantic cataloging into its Teamwork Graph / Rovo AI and migrate it onto the Atlassian Cloud Platform over time. As of mid-2026 Secoda still operates under its own brand with the founding team aboard; near-term customer experience is said to be unchanged. Founded 2021 in Toronto (Y Combinator); ~USD 14M Series A in 2023.

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

02
Head-to-head

How each tool describes the other.

● OpenMetadata on Secoda

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

● Secoda on OpenMetadata

Secoda cross-shops most directly with atlan, datahub, and openmetadata as a catalog/discovery plane, and with unity-catalog for teams already on Databricks. Against Atlan it positions as faster-to-value, lighter-weight, and more self-serve for mid-market teams; against the OSS catalogs it trades open-source portability for a polished AI-first UX and bundled observability. It is not a dedicated data-quality engine like monte-carlo, anomalo, or soda — its monitoring is consolidated and metadata-driven rather than deep test authoring, which is why we score the quality-testing cluster zero.

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

03
At a glance

Spec sheet diff.

OpenMetadata Secoda
Vendor Collate Secoda (Atlassian)
License Open source Proprietary
Pricing OSS · free Contact sales
Free tier Yes No
OSS self-host Yes No
HQ Saratoga, CA Toronto, Ontario, Canada
Status ● active ○ acquired

Both share Primary cluster: Catalog & discovery · Deployment: SaaS · Self-hosted · dbt integration: Native · OpenLineage: None · Founded: 2021

04
Cluster strength

Each tool's center of gravity.

Cluster OpenMetadata Secoda
Quality & testing 2/3 0/3
Catalog & discovery 3/3primary 3/3primary
Lineage & metadata 3/3 3/3
▲ Asymmetry
OpenMetadata scores 2/3 on Quality & testing; Secoda scores 0/3. If this cluster is the buying motion, the choice is largely made — see the OpenMetadata capability detail.

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 Analytics engineer · Data engineer · Data steward · Governance lead
Only OpenMetadata Platform engineer
Only Secoda Analyst
Company size fit
Identical · Enterprise · Mid-market · Scaleup · Startup
Warehouse coverage
Both BigQuery · Databricks · MSSQL · MySQL · Postgres · Redshift · Snowflake
Only OpenMetadata Athena · ClickHouse · Synapse · Trino
Only Secoda MotherDuck
Orchestrators
Both Airflow · dbt Cloud · dbt Core
Only OpenMetadata Airbyte · Dagster · Fivetran · Nifi · Prefect
06
Declared features

The declared feature set.

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

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

Where they disagree.

Catalog & discovery

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

Lineage & metadata

1 of 7 differ
OpenMetadata Secoda
Historical
Both also haveColumn-level · Cross-system · Reverse impact · BI lineage · Lineage API
Neither doesLineage diff
08
Verdict

When to pick each.

● 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.

● Pick Secoda if

Mid-market and scaleup data teams that want one AI-native tool covering catalog, search, lineage, documentation, and basic observability rather than running separate catalog, lineage, and monitoring tools — especially teams that value a natural-language assistant for self-serve data questions and broad business-user adoption. A strong fit for organisations on Snowflake, BigQuery, or Databricks plus dbt and a modern BI tool who want fast time-to-value and lighter governance overhead than enterprise suites like Atlan or Collibra.

09
Strengths

What each does best.

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)

Secoda stands out for

  • [+] AI-native search and assistant as the primary interface — natural-language data questions across the catalog, plus purpose-built agents for search, documentation, observability, and governance
  • [+] Consolidated — catalog, data dictionary/glossary, column- and table-level lineage, governance, and no-code monitoring in one workspace
  • [+] Strong automated lineage including column-level, BI-tool coverage, impact analysis, and downstream/upstream owner notifications
  • [+] Fast time-to-value and broad business-user adoption relative to heavyweight enterprise catalogs, with 50+ no-code connectors
10
Other alternatives

Tools both also compete with.

A note on this comparison.

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

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