Build a kSQL Semantic Layer with Cube.

How Cube and ksqlDB work together

Cube connects to ksqlDB 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 ksqlDB and Cube

 Performance + Reliability

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

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.

Compatibility + Flexibility

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.

Additional information on using Cube with ksqlDB

See Cube in action

Interest piqued? Try Cube's semantic layer.

Related Integrations

Check out Cube’s other integrations

Related Use Cases

Check out Cube’s other Use Cases