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

RamSoft

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

How RamSoft built its users native embedded analytics—in two weeks.

 Embedded Analytics 

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%

Ready to upgrade your data stack?

Robust governance begins with centralized permissions management.

Cube, the semantic layer for building data apps, offers a robust data access control layer which enables you to enforce cohesive security across every application.

Avoid permission gaps. Cube’s comprehensive data access controls make it possible to grant granular permissions to individual users, teams, roles, or applications.

Data Access Control

Enforce fine-grained access controls to your data

Build secure data models

Fortify multi-tenant applications

Employ a security model of your choice

Industry-proven query authentication 

Integration with authentication providers

With Cube, we’ve reduced the time required to generate real-time and historical reports from 10’s of seconds to less than 2, while reducing our spending on hosting by almost 80%.

Cuboh

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.

North American manufacturing company with 3500+ employees

Cube's strengths include its strong code-first orientation, native API support, and its analytics pre-processing through caching and pre-aggregations.

GigaOm

Define your metrics in one data model to unify insights.

Data Modeling

Make your data accessible and your stack compatible.

Data APIs

Rely on uniformly performant data with centralized caching.