Build a Materialize Semantic Layer with Cube.

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How Cube and Materialize work together

Cube connects to Materialize and provides a semantic layer, centralized data access control, and caching. Cube’s lambda architecture makes it possible to work seamlessly with batch and real-time data in a single query.

Power your data applications with Materialize 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.

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.

Headless = Customized

Decoupling BI from your front-end means orchestrating data modeling, access control, and caching once—while building presentation layers for any use case.

Easily tailor your
user experience.

Step-by-step guides on using Cube with Materialize

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.