Govern and discover your Databricks data, at scale
Add business context, governance, and lineage to your Databrucks Data so teams can move faster with confidence.
Context for the Leading AI Data Cloud
Help more people in your organization benefit from your Databricks investment
- Give business users a way to find and understand data without writing a single line of code.
- Cut the back-and-forth between analysts and engineers by making data self-service from day one.
- Sync metadata automatically between DataHub and Unity Catalog so every team works from the same source of truth.
Enable true conversational analytics on Genie
- Ground your AI models in verified business definitions, not raw column names.
- Build a context layer your AI can actually reason over.
- Give Databricks AI the organizational context it needs to produce answers people trust.
Understand Data Flow with End-to-End Lineage
- Map every asset from ingestion through transformation to the ML models your company relies on.
- Pinpoint the root cause of a data incident in minutes, not days.
- See your Databricks workflows in the context of your entire data estate, with lineage down to the column level.
Joint Customer Case Studies
Foursquare’s Data Stack Gets Squared Away
Ask yourself: What is the first customer experience or the developer experience you would want to fix? And how do you do that in a sustainable way? That’s what led to our adoption of DataHub. And that’s what I would recommend anyone doing.
Challenge
Fragmented data ecosystem inherited through acquisitions slowed product development, hindered data discoverability, and created costly data duplication and access challenges
Solution
Adopted DataHub Cloud to implement a flexible, lineage-rich metadata control plane aligned to Foursquare’s vision for a scalable, developer-first data platform
Impact
Accelerated time-to-discovery and access (from days to minutes), improved developer productivity, automated metadata lineage and access control, enabled safe cross-team data reuse, and laid the groundwork for geospatial metadata innovation at scale