Semantic Catalog

Cube's universal semantic layer is not just a platform for data engineers but an invaluable resource for data analysts and business users in your organization.

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Search a unified view of connected data assets with Semantic Catalog

Always up-to-date based on the data models you define

Search modeled data in Cube Cloud, downstream connected BI content, and upstream tables
Understand lineage, entities, relationships, dimensions, and metrics visually
Explore downstream charts and dashboards across all BI platforms

Ready to upgrade your data stack?

See how Cube can help you get the most of your data

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Use Cases of Cube

Embedded Analytics

Build consistent, secure, and performant embedded analytics.

Real-time Analytics

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

LLM & AI Semantic Layer

Bring context to AI chatbots and LLMs

Modern Cloud OLAP

Bridge the Gap Between your Modern Data Stack and Spreadsheets

See Cube’s data access control in action

Jobber uses Cube to create high performance embedded dashboards for customers

Read the Case Study

How Simon created fast, flexible and stable embedded dashboards for internal and external users

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We can develop and ship analytics products without dealing with any net new infrastructure development going forward. Our efforts are focused on what matters: the data and the UI.

Jc Weinrich

Architect at Jobber

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.