DataHub alternatives

3 tools to consider instead of DataHub, shown against it.

DataHub OpenMetadata Atlan Amundsen
Vendor Linux Foundation AI & Data (commercial: Acryl Data) OpenMetadata community (commercial: Collate) Atlan Amundsen community (Linux Foundation AI & Data)
Pricing model Open source + paid options Free tier + paid plans Quote only Open source + paid options
Free tier Yes Yes No Yes
Deployment Cloud, Self-hosted Cloud, Self-hosted Cloud, Self-hosted Self-hosted
Open source Yes (Apache-2.0) Yes (Apache-2.0) No Yes (Apache-2.0)
Best for Engineering teams wanting a self-hosted, extensible open-source metadata platform. Teams wanting catalog, lineage and data quality in a single open-source platform. Modern data teams wanting an API-first, collaborative catalog tied into the cloud data stack. Teams wanting a lightweight, self-hosted discovery UI who can tolerate a slow-moving open-source project.
Pricing

Core platform is free to self-host; DataHub Cloud (managed, by Acryl Data) is sold via custom quote with no public pricing page.

Pricing has not been verified yet — see the vendor's site.

Self-hosted core is free; Collate's hosted version has a genuine free tier plus quote-based Premium and Enterprise plans.

Free Free
Premium Custom (demo required)
Enterprise Custom (demo required)

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Custom quote based on data sources and seats; no public price list.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Free, self-hosted open-source project; no commercial or managed offering.

Pricing has not been verified yet — see the vendor's site.

Features
  • Metadata search and discovery
  • Column and table-level lineage
  • Business glossary and classification
  • Ownership and access tracking
  • Data quality integration
  • Slack and webhook alerting
  • GraphQL and REST APIs
  • AI/MCP layer for agent tools (Cloud)
  • Unified catalog, lineage, quality and observability schema
  • Column-level lineage
  • Automated PII classification
  • Built-in data quality test suites
  • Glossary and classification tags
  • Collaboration (tasks, announcements)
  • Role-based access control
  • Collate AI assistant (hosted)
  • Automated column-level lineage
  • AI-generated documentation and search
  • Business glossary and classification tags
  • Workflow and playbook automation
  • Slack/Teams-style collaboration on data assets
  • Open REST API and SDK
  • Data quality integration
  • Personalized discovery and recommendations
  • Search-first data discovery UI
  • Table and dashboard metadata browsing
  • Popularity-based search ranking
  • Lineage visualization via pluggable backend
  • Ownership and usage tracking
  • Slack-based data request workflow
  • Pluggable metadata and search backends

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