Where should a semantic layer be built?

4 Reasons Why You Should Attend Cube Rollup

Why API-Based Data Access is Essential for Modern Data Management

Quantatec

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%.

Cloud Academy

Customizable embedded dashboards and natural language AI queries drive customer analytics 

 Embedded Analytics 

SecurityScorecard

Faster Performance and a 2x Reduction in Snowflake Cost 

Ready to upgrade your data stack?

Why Cube Cloud? Cube’s universal semantic layer offers solutions for embedding analytics, connecting BI tools and AI and LLMs at lower cost, faster to launch, easier to maintain, with the observability, security, and compliance that your company needs.

You need Cube’s semantic layer, but what does Cube Cloud offer above and beyond Cube OSS? In a nutshell, everything you need for a production deployment.

Why Cube Cloud?

Cube Cloud Delivers More

TOTAL COST OF OWNERSHIP

Cube OSS is 2x the cost of Cube Cloud

DEVELOPER TOOLS FOR COLLABORATION

Easier to develop and maintain

FULLY HOSTED IN ANY CLOUD

Launch Now. Not in 6 months.

RUNTIME

Maintain peace of mind

When we first found Cube, we considered hosting it internally. However, we realized doing so would require quite the overhead from our DevOps team. If you plan on using Cube but don’t want to (or can’t) increase your infrastructure OPEX, then go for Cube Cloud—you won’t regret it.

Build consistent, secure, and performant embedded analytics.

Trust your real-time data with a stack designed for consistency and speed. 

Real-time Analytics 

LLM & AI Semantic Layer

Bridge the Gap Between your Modern Data Stack and Spreadsheets