DataHub
DataHub: A broad open-source catalog for discovery, lineage, governance, and metadata operations. Ranked #8 of 25 in Active Metadata Management Software by our editors (8.5/10); pricing: Free plan; best for open-source catalog and governance deployments.
At a glance
- Editor score8.5 / 10
- PricingFree plan
- Best forOpen-source catalog and governance deployments
- Free planYes
- Paid fromFree
- Facts checked23 Sep 2026
Where it wins
- Search, ownership, PII tracking, lineage, profiling, and contracts in one platform
- UI, command-line, API, and SDK options support varied ingestion workflows
- Docker, Kubernetes, cloud, and self-hosted deployment paths
Where it doesn't
- Self-hosted deployments center on Docker or Kubernetes operations
- Support is provided through community channels and documentation
- Cloud and self-hosted deployments require choosing separate operating models
Our verdict on DataHub
DataHub is an open-source metadata management and data catalog platform for data teams and practitioners. It supports search across datasets, dashboards, machine-learning models, and files, while adding governance details such as ownership and PII tracking. Lineage, dataset profiling, and data contracts extend its use beyond basic cataloging. Small, mid-market, and enterprise teams can deploy it through web, Linux, self-hosted, or API-oriented environments.
Its ingestion and integration surface is a central strength. Metadata can be added through a user interface, command-line tools, APIs, and SDKs, giving teams options for both operational workflows and programmatic pipelines. DataHub supports cloud and self-hosted deployment, with Docker and Kubernetes paths for organizations managing their own infrastructure. The published product description also presents the platform as extensible for evolving data ecosystems, which suits teams that expect metadata requirements to expand over time.
DataHub is a strong fit for organizations wanting broad catalog and governance capabilities under an open-source model, especially when they can operate a self-hosted service or select the hosted DataHub Cloud option. The trade-off is operational choice: teams must decide between cloud and self-hosted deployment rather than relying on one universal setup. Support is centered on community resources and documentation, so buyers seeking a dedicated support model should assess that fit carefully. Choose DataHub for flexible discovery, lineage, governance, and ingestion; consider an alternative if a narrowly focused catalog or a single managed operating model is the priority.
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DataHub pricing
DataHub fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Metadata source limit | Not verified |
| Automated lineage | Not verified |
| Data quality monitoring | Not verified |
| Governance workflows | Not verified |
| Deployment model | Not verified |
| Impact analysis | Not verified |
| API access | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, Linux |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | datahub.com |
| Facts checked | 23 Sep 2026 |
Alternatives to DataHub
- Databricks Unity CatalogDatabricks-native governance with deep lineage, controls and quality monitoring.9.3
- Zeenea Data Discovery PlatformBroad catalog and lineage capabilities now continue under Actian Data Intelligence Platform.9.1
- Oracle Cloud Infrastructure Data CatalogA free OCI catalog for harvesting, organizing, and tracing metadata across connected sources.9.0
See all DataHub alternatives →
DataHub vs the competition
- DataHub vs Databricks Unity Catalog
- DataHub vs Zeenea Data Discovery Platform
- DataHub vs Oracle Cloud Infrastructure Data Catalog
- DataHub vs Alation Data Catalog
- DataHub vs OpenMetadata
Compare DataHub with any tool side by side →
Also Ranked In
DataHub is ranked in 2 of our directories.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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