Cube expands support for Google Ecosystem with Google Sheets Connector

How to connect Google Sheets to your metrics in Cube Cloud

Where should a semantic layer be built?

Jobber

Cube really stood out as a great fit for our use case. We were able to level‑up our data infrastructure without needing to build a full‑blown and expensive data pipeline.

Jobber uses Cube to create high performance embedded dashboards for customers

 Embedded Analytics 

Simon

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.

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

Ready to upgrade your data stack?

Unlock the value of trusted data for everyone in your organization.

Unlock the value of trusted data for everyone in your organization. Simplify discovery, exploration, and access to modeled data in Cube Cloud’s AI-powered universal semantic layer with the introduction of Semantic Catalog and AI Assistant. 

Simplify discovery, exploration, and access to modeled data in Cube Cloud’s AI-powered universal semantic layer with the introduction of Semantic Catalog and AI Assistant.

Unlock the value of trusted data for everyone

START YOUR ANALYSIS HERE

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

Search a unified view of connected data assets with Semantic Catalog 

GET CONVERSATIONAL WITH YOUR DATA

Gain quick insights with natural language queries, powered by GenAI

Discover available modeled data, downstream connected BI content, and upstream tables visually

Preview charts and move to Playground for deeper exploration

Ask questions in natural language and get trusted answers with AI Assistant

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.

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.

Unlock the value of trusted data for everyone

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.