Exploring the Semantic Layer Through the Lens of MVC

Get More Flexibility with Updated Offerings for Cube Cloud

Introducing long-term support (LTS) for Cube Core

Cuboh

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%.

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

Semantic Layer

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 

Ready to upgrade your data stack?

Rely on uniformly performant data with centralized caching.

Cube, the semantic layer for building data apps, enables upstream caching orchestration that speeds up both time-to-value and data performance.

Cube’s semantic layer enables cost-effective work with billion-row datasets and subsecond responses while orchestrating caching upstream of all of your data apps—once.

Caching and Data Performance

Centralize caching for uniformly performant data.

Leverage an in-memory cache and queue that ward off latency.

Maximize data performance to make sure it matches your speed—fast.

Save your capital for more important things than redundant queries.

Orchestrate your caching layer once—and only once.

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

We didn’t want to use Tableau, Power BI or Looker Studio. We needed our own tool integrated completely within our platform, Cube allowed us to do just that. 

spyne 

Partnering with Cube gives us an in-depth view into the future of the semantic layer, thanks to their team we can be confident our deployments will be the best-of-breed for our clients.

Rittman Analytics

Define your metrics in one data model to unify insights.

Data Modeling

Make your data accessible and your stack compatible.

Data APIs

Robust governance begins with centralized permissions management.