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How Cube’s Universal Semantic Layer & Snowflake Data Cloud Work Together
Build a Snowflake API with Cube.
How Cube and Snowflake work together
Integrate Cube with Snowflake and your data apps to get semantic modeling, data access control, and caching—for consistent metrics definitions and access control management across every application and data consumer.
Power your data applications with Snowflake and Cube
Compatibility + Flexibility
Cube’s API-first approach and SQL-compliant protocol enable you to maintain every BI tool or data app with consistent metrics definitions, access control, and caching.
Integrate with anything
and anyone.
Performance + Reliability
Redundantly and directly querying your data source results in latency and unnecessary costs. Cube’s caching layer, pre-aggregations, and query queuing fix that.
Skip latency;
expect speed.
Security + Governance
Reconfiguring data access control for every data app in your stack opens the door to inconsistencies and gaps. Centralize permissions upstream for uniform security.
Maintain ubiquitious
access control.
Additional information on using Cube with Snowflake
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%.
Alessandro Lollo
Senior Data Engineer at Cloud Academy
Interest piqued? Try Cube's semantic layer.
Fully managed hosting of your Cube apps
