Data APIs

Leverage limitless integrations.

The fact that Cube’s semantic layer includes an API layer solves the many-to-many problem most organizations face. No matter the data sources and downstream apps in your data stack, Cube’s instant data APIs infuse your stack with universal compatibility, easy integrations, and data accessibility.

Seamlessly integrate using the SQL you already know.

Boost your data’s performance, make it consistent, and centralize its caching and security upstream of every BI platform. Cube’s instant Postgres-compliant SQL API lets you skip the new language learning curve, making it incredibly easy to connect your data sources and semantic layer to any of your downstream tools.

Make a native Power BI connection.

Connect natively from Power BI to Cube and query Cube data models in real-time using the DAX API. This architecture enables direct access to live data in cloud data warehouses, such as Databricks and Snowflake, from Power BI, while retaining all the power and expressiveness of the DAX query language.

Deliver fast, consistent insights.

Count on Cube’s REST data API to power your custom embedded analytics. Its versatile semantic layer is ideal for many data formats and your favorite front-end frameworks and charting libraries, without worrying about underlying logic.

Easily build real-time analytics.

Create robust real-time and custom analytics experiences efficiently. Leverage Cube’s caching and pre-aggregations layer with its instant GraphQL data API to seismically speed up time-to-value and achieve total stack and UX flexibility.

Connect ready-to-query data models in a couple of clicks.

Reduce time-to-insights from hours to minutes and streamline your semantic layer integration with Semantic Layer Sync. SLS complements Cube's SQL API and automatically populates your BI tool with the metrics you defined in Cube, and automatically syncs data model changes from Cube to your BI—without additional set up within the tool.

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Check out the rest of Cube's four-part semantic layer

Data Modeling

Define your metrics in one data model to unify insights.

Data Access Control

Robust governance begins with centralized permissions management.

Caching and Data Performance

Rely on uniformly performant data with centralized caching.

Related Case Studies

See Cube's data access control in action

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

Read the Case Study

Faster Performance and a 2x Reduction in Snowflake Cost

Read the Case Study

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

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

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