Metabase Semantic Layer with Cube

How Cube and Metabase work together

Cube sits between your data source and Metabase, providing consumers with consistently defined, secure, and performant data. By managing data modeling, access control, and caching upstream, you can be sure every data consumer in your org using Metabase—and every other data app—will be working with the same fast data protected by the same permissions.

Power your data applications with Metabase and Cube

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.

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.

Security + Governance

Reconfiguring data access control for every data app in your stack opens the door to inconsistencies and gaps. Centralize permissions upstream for uniform security.

Maintain ubiquitious
access control.

Step-by-step guides on using Cube with Metabase

Tutorial

Self-service analytics with Metabase and Cube

Check the issues

250 contributors and 14.1k stars on GitHub

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See Cube in action

How Cloud Academy sped up data modeling by 5x and decreased analytics downtime by 90%

Read the Case Study

How Cuboh decreased 100,000-row customer report times from 10’s of seconds to less than 2

Read the Case Study

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%.

Alessandro Lollo

Senior Data Engineer at Cloud Academy

We are blown away with Cube. Its state-of-the-art API support, broad compatibility with frontend frameworks, and performance features allowed us to rebuild our analytics efficiently while decreasing our dashboard loading times by 90%. And Cube’s attentive and collaborative team makes their product as fast-to-market as it is performant.

Director of IT, North American manufacturing company with 3500+ employees

We found an incredibly fast-to-market and flexible modern analytics solution: Cube. We were able to deliver a complex but highly customized embedded analytics user experience—in two weeks, and without changing our stack.

Dhyan Shah

Product Manager at RamSoft

The Cube platform reduces our development time significantly and integrates easily with data from various sources. The Cube team is collaborative and quick to respond to our requests and their open source ethos keeps things transparent. Read the Case Study