Trust your insights with Cube and Elasticsearch

Just like these companies:

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How Cube and Elasticsearch work together

Use Cube with Elasticsearch to make data modeling, centralized access control, and caching available to downstream applications powered by key-value or document-based data.
RESTGraphQLSQL

Data Source

Headless BI

Data modeling, Access control, Caching

Power your data applications with Elasticsearch 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 Elasticsearch

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.

Semantic Layer

With Cube's headless BI platform, use a Semantic Layer to define metrics upstream, and provide consistent data to every team and every stakeholder.