Build a MongoDB API with Cube.

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How Cube and MongoDB work together

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

Power your data applications with MongoDB 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 MongoDB

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%.

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

Semantic Layer

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