Trust your insights with Cube and ksqlDB

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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.
RESTGraphQLSQL

Data Source

Headless BI

Data modeling, Access control, Caching

Power your data applications with ksqlDB and Cube

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.

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.

Step-by-step guides on using Cube with ksqlDB

See Cube in action

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%.

Picture of Alessandro Lollo - the Participant

Alessandro Lollo

Senior Data Engineer at Cloud Academy

Reach out to Cube—because headless BI is better BI.

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%.

Picture of Alessandro Lollo - the Participant

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

Embedded Analytics

Use Cube headless BI platform to power consistently informed, performant, and secure embedded analytics for your internal and external users.

Real-time Analytics

Cube's headless BI platform enables real-time analytics powered by consistent, performant, and secure data—ensuring the whole team is on the same page.