Build a Databricks API with Cube.

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How Cube and Databricks work together

Integrate Cube with Databricks and your data apps to get semantic modeling, data access control, and caching—for consistent metrics definitions and access control management across every application and data consumer.

Power your data applications with Databricks and Cube

Compatibility + Flexibility

Cube’s API-first approach and SQL-compliant protocol enable you to maintain every BI tool or data app with consistent metrics definitions, access control, and caching.

Integrate with anything
and anyone.

Security + Governance

Reconfiguring data access control for every data app in your stack opens the door to inconsistencies and gaps. Centralize permissions upstream for uniform security.

Maintain ubiquitious
access control.

Performance + Reliability

Redundantly and directly querying your data source results in latency and unnecessary costs. Cube’s caching layer, pre-aggregations, and query queuing fix that.

Skip latency;
expect speed.

Step-by-step guides on using Cube with Databricks

See Cube in action

Interest piqued? Try Cube's semantic layer.

With Cube, we’ve been able to speed up time to release a new data model to production by 5x and decrease analytics downtime by 90%.

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Alessandro Lollo

Senior Data Engineer at Cloud Academy

Related Integrations

Check out Cube’s other integrations

Related Use Cases

Check out Cube’s other Use Cases

Semantic Layer

Define metrics upstream to inform every app with the same data.