Ensure Your Snowflake Investment Pays Off Across Teams, Tools, and AI Agents

Together, Cube and Snowflake deliver consistent, governed, and high-performance data to every dashboard, spreadsheet, app, and AI agent. Get started in minutes with Cube, the universal semantic layer for Snowflake: sign up, connect Snowflake, generate models, and publish consistent metrics for any data consumer.

Get Started with Snowflake Talk to Sales

Increase Operational Efficiency:
Support modern OLAP and AI workloads simultaneously.
Centralize Governance:
Define data access policies and apply them across tools.
Enhance Performance:
Speed up dashboards and multidimensional queries.

More Cube customers choose Snowflake than any other datasource

Make Your Snowflake Data AI- and BI-Ready

Your data warehouse is ready, but are your metrics? While Snowflake powers your data storage and compute, teams still build their own definitions in BI tools and spreadsheets. This leads to conflicting numbers. Cube sits between Snowflake and every data consumer, delivering an AI- and BI-ready single source of truth.

Using Cube Cloud greatly benefits us. It requires minimal optimization time, ensures reliable deployments, and allows financial predictability. Moreover, it integrates with our GitHub workflow, providing significant advantages both financially and engineering-wise.

The Linux FoundationRead the Case Study

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%. And, since the Cube team is so responsive, collaborative, and fast to deliver, we benefit from new features very frequently.

Cloud AcademyRead the Case Study

Deliver Your Snowflake Data Where It's Needed

Combine Cube and Snowflake to power every downstream data consumer with API endpoints via SQL for BI tools, REST and GraphQL for embedded analytics, MDX for Excel, DAX for Power BI, and more. Avoid metric sprawl and expose consistent Snowflake data to AI agents, BI dashboards, spreadsheets, and embedded analytics without rebuilding logic in each tool.

Secure Your Data at the Semantic Layer

Define row-level, column-level, and user-level policies upstream from data consumers, then automatically apply them across every tool and API. Your governance policies follow your data, even into AI and spreadsheets, so that you can ensure compliance while supporting tool preference.

Optimize Snowflake Performance and Reduce Compute Costs

Add Cube’s powerful caching and advanced pre-aggregations and caching on top of Snowflake to drastically improve query speed and reduce warehouse load and cost. It’s a performance layer for every data connection, delivering sub-second API responses even under high concurrency.

Ground AI Agents on Trusted Context from Cube

Onboard Cube D3’s AI Data Engineer and AI Data Analyst agents work natively with Cube Cloud and Snowflake to automate insights, explain outputs, and act within governance guardrails. Snowflake is the source, while Cube is the semantic foundation.