Why Building Embedded Analytics and Generative AI Solutions with Cube Cloud Is a Winning Strategy

Universal Semantic Layer: Capabilities, Integrations, and Enterprise Benefits

Exploring the Semantic Layer Through the Lens of MVC

Cloud Academy

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%.

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

 Embedded Analytics 

SecurityScorecard

Faster Performance and a 2x Reduction in Snowflake Cost 

Ready to upgrade your data stack?

Make your data accessible and your stack compatible.

Cube, the semantic layer for building data apps, features an API layer that allows you to connect your data modeling, caching, and access controls to any application. These data apis allow you to connect to all kinds of data sources

Cube’s data APIs streamline access between all your data sources and tools, so you can curate the best stack for your use case.

Data APIs

Seamlessly integrate using the SQL you already know.

Deliver fast, consistent insights. 

Easily build real-time analytics. 

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

Develop secure, accurate, and cost-effective Generative AI solutions faster.

Modernize multidimensional analysis in spreadsheets with Cube Cube.

Leverage limitless integrations.

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.

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.

COTA

Define your metrics in one data model to unify insights.

Data Modeling

Robust governance begins with centralized permissions management.

Data Access Control

Rely on uniformly performant data with centralized caching.