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Decision comparison

Alation vs OpenMetadata

Alation and OpenMetadata both catalogue data assets with lineage and search, and differ on licensing and on how much they prompt curation. Alation is commercial, deriving usage and likely owners from query logs to direct stewardship. OpenMetadata is open source with a deliberately simple architecture, combining catalog, lineage and data quality in one product.

data catalogs
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Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.

All 2 are data catalogs.

Quick Comparison

Alation

What it is:
A commercial data catalog built around search, curation and behavioural intelligence from query logs
Licensing:
Commercial, with a managed service
Ingestion:
Crawls warehouses for schemas and parses query logs for lineage and usage
Curation:
Prompts stewards where usage is high, and suggests owners from query history
Deployment:
Vendor-operated
Support:
A vendor contractually accountable for the platform
Best fit:
Organisations that want curation prompted and a vendor on the hook

OpenMetadata

What it is:
An open-source metadata platform with a simpler architecture, combining catalog, lineage, quality and collaboration in one product
Licensing:
Open source, self-hosted, with managed offerings from third parties
Ingestion:
Ingests metadata from warehouses, dbt and pipelines through connectors
Curation:
Ownership, glossary and documentation fields maintained by stewards
Deployment:
Your own infrastructure, or a managed provider
Support:
A community, unless you buy support from a provider
Best fit:
Organisations wanting control of the catalog and no licence cost

Public signals

Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.

MetricAlationOpenMetadata
GitHub commits, 90d(Developer adoption)2Not available
GitHub stars(Developer adoption)19Not available
Search interest(Market interest)Unavailable1
Product Hunt comments(Community interest)0Not available
Product Hunt reviews(Community interest)0Not available
Product Hunt votes(Community interest)2Not available
Stack Overflow questions(Community interest)12Not available
Docker Hub pulls(Product adoption)Not available5.3M
GitHub commits, 90d(Product adoption)Not available2.0k
GitHub stars(Product adoption)Not available15,000+
PyPI weekly downloads(Product adoption)Not available39.9k

As of September 21, 2026 — updated weekly.

Health & risk evidence

Observed public-source checks for mapped package versions and repositories.

Alation

Package vulnerabilities

Not available

Repository security score

Not available

OpenMetadata

September 21, 2026

Package vulnerabilities

PyPI · openmetadata-ingestion@2.0.2.0

0 vulnerabilities

across 1 package

Repository security score

github.com/open-metadata/OpenMetadata

4.6/10

Interface Preview

Alation

Alation product interface

Feature Comparison

Discovery

Automatic schema ingestion

AlationFull support
OpenMetadataFull support

Column-level lineage

AlationFull support
OpenMetadataFull support

Search across assets

AlationFull support
OpenMetadataFull support

Usage statistics from query logs

AlationFull support
OpenMetadataPartial support

Curation

Business glossary

AlationFull support
OpenMetadataFull support

Ownership assignment

AlationFull support
OpenMetadataFull support

Prompts stewards where documentation is missing

AlationFull support
OpenMetadataPartial support

Data quality status displayed

AlationFull support
OpenMetadataFull support

Platform

Open source

AlationNot verified
OpenMetadataFull support

Self-hosted deployment

AlationNot verified
OpenMetadataFull support

Vendor support accountability

AlationFull support
OpenMetadataPartial support

REST API for automation

AlationFull support
OpenMetadataFull support

Integration

Connects to Snowflake, BigQuery and Databricks

AlationFull support
OpenMetadataFull support

dbt integration

AlationFull support
OpenMetadataFull support

BI tool lineage

AlationFull support
OpenMetadataFull support

Access policy integration

AlationFull support
OpenMetadataPartial support
Full supportPartial supportNot supportedNot verifiedNot applicable

Which to choose

Alation and OpenMetadata both catalogue data assets with lineage and search, and differ on licensing and on how much they prompt curation. Alation is commercial, deriving usage and likely owners from query logs to direct stewardship. OpenMetadata is open source with a deliberately simple architecture, combining catalog, lineage and data quality in one product.

Best-fit scenarios

Choose Alation if:

Choose Alation when you want curation actively encouraged and somebody accountable. Parsing query logs to suggest owners and to show which tables are actually used means stewardship effort goes where it matters rather than being spread evenly across 10,000 tables, and a vendor is contractually on the hook when the platform does not work.

Choose OpenMetadata if:

Choose OpenMetadata when you want an open catalog that is realistic to operate. Its architecture is simpler than most metadata platforms — a relational database and a search index rather than a multi-component stack — and cataloguing, lineage and data quality arrive in one product rather than as separate purchases.

These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.

Frequently Asked Questions

How does metadata get in?

Alation crawls on a schedule: it connects to the warehouse, reads schemas and parses query logs, and the catalog is as current as the last crawl. OpenMetadata runs ingestion as Python workflows that an Airflow deployment schedules, one connector at a time, with the configuration kept as code. The practical difference is operational rather than conceptual. Alation's crawl is the vendor's problem; OpenMetadata's workflows are yours to schedule, monitor and re-run, which is more control and more to watch. Either way, a catalog nobody notices has gone stale is the common failure.

Who maintains it after the rollout?

Named stewards with time allocated, or nobody — and nobody is the common answer. A catalog populated automatically and curated by no one becomes ten thousand undescribed tables that people learn to ignore. Decide who owns which domains before deploying anything, because no product solves this and every product depends on it.

How much does lineage help in practice?

It answers two expensive questions: what breaks if I change this column, and where did this number come from. Column-level lineage through dbt into dashboards turns both from an afternoon of tracing into a screen. The value scales with how many consumers sit downstream — with twenty dashboards it is convenient, with five hundred it is the product.

How much of the estate should we catalogue first?

The tables people actually use, which is a far shorter list than the schema suggests. Query logs usually show that a few hundred tables carry almost all of the reads while thousands are never touched, so cataloguing the used ones properly is both achievable and the part that pays. Crawling everything on day one produces a search result page nobody trusts.

How does each one fit dbt and the warehouse?

Both read Snowflake, BigQuery and Databricks schemas and both ingest dbt, so descriptions written in the project show up in the catalog rather than being retyped. Alation adds query-log usage, so a model nobody reads looks different from one carrying fifty dashboards. OpenMetadata folds data quality into the same metadata standard, so test results sit on the entity beside its description and lineage instead of living in a separate tool. If the gap you feel is "which tables matter", that points one way; if it is "is this table trustworthy right now", it points the other.

What does the licence difference actually change?

Less than the deployment difference, and more than you would like at renewal. Alation's cost is a negotiated licence and its risk is the renewal once forty teams depend on it. OpenMetadata's cost is zero and its risk is that the server, its database, its search index and its Airflow become somebody's second job. The lock-in that matters is neither: descriptions, glossary terms and ownership written inside a catalog are the asset, and moving them is the migration. OpenMetadata's answer is a published JSON schema you can read and re-import; ask Alation what its export produces before you write anything worth keeping.