AtScale + Snowflake
Snowflake customers use AtScale to provide governed, live analytics across Power BI, Excel, Tableau, GenAI, and agentic AI—without extracts, duplicated metrics, or off-platform execution.
What Snowflake + AtScale Enables
- Live, native connectivity from Power BI and Excel directly to Snowflake
- One governed semantic model shared across any BI and AI applications
- Autonomous performance acceleration with aggregates created and maintained inside Snowflake
- All compute stays in Snowflake—no OneLake, Fabric, or external query engines
–> This integration turns Snowflake into the single, trusted source of business logic for every analytics consumer.
Live Microsoft Connectivity on Snowflake
AtScale provides native DAX and MDX connectivity so Microsoft tools work as true live interfaces to Snowflake.
- Native DAX with support for 1,600+ functions used in complex Power BI models
- Native MDX for Excel PivotTables and CUBE formulas
- No dependency on local models, imports, or extracts
- All query execution remains on Snowflake compute
–> Microsoft workloads scale with Snowflake performance and governance—no workflow changes for business users
Consistent, Explainable Metrics Across Every Tools
AtScale centralizes metrics, hierarchies, measures, and dimensions inside Snowflake. Power BI, Excel, Tableau, and agentic systems all consume the same business definitions.
- Every tool shows the same KPIs
- No metric duplication across BI ecosystems
- Traceability from semantic definition → query → result
- Reduced manual engineering and semantic drift
–> For teams moving off SSAS or legacy cubes, AtScale provides a cloud-native, compatible alternative that preserves multidimensional workflows while shifting computation into Snowflake.
Enterprise Performance Without Compromise
AtScale’s autonomous optimizer analyzes real query patterns and creates aggregates on Snowflake in real time.
- Automatically builds, maintains, and prunes aggregates inside Snowflake
- Up to 14× concurrency gains at enterprise scale
- 30–70% TCO improvement by eliminating extracts and manual cube rebuilds
- Snowflake-tuned SQL and virtualized calculations—no ETL duplication
–> Performance is delivered as part of Snowflake, not through additional infrastructure or extracts.
