Universal BI tool support
Power BI, Tableau, Excel, Looker, and any SQL or XMLA-capable tool connects to the same semantic model. One definition of every metric — delivered to every tool over the protocol it speaks natively.
AtScale for Snowflake
Governed Snowflakemetrics, live in Power BI and Excel
AtScale for Snowflake Semantic Views extends trusted business definitions from Snowflake Semantic Views to Microsoft Power BI and Excel. Business users get live access to governed Snowflake metrics in the tools they already use, without extracts, mirrored data, or recreated semantic logic.
Our Mission
Mark governed
semantics the
standard.
AtScale was founded on a simple premise: business intelligence fails when the same metric means different things in different tools. A CFO who gets a different revenue number from Cortex Analyst than from Power BI doesn't trust either one. That mistrust is the single biggest barrier to enterprise AI adoption.
AtScale eliminates that barrier. We provide the universal semantic layer — the governed, centrally defined, universally queryable business logic layer that sits above every data platform and below every tool that consumes data. Define revenue once. Govern it everywhere. Trust it always.
Our platform is the reason Fidelity, Nike, and The Home Depot trust their analytics and AI to return the same number — whether the query comes from Power BI, Cortex Analyst, Tableau, Excel, or a Claude agent.
Multi-warehouse compute routing
AtScale translates queries into the SQL dialect of whatever platform you use — Snowflake, Databricks, BigQuery, AWS or on-prem. The semantic layer governs meaning; you own and choose the compute.
MCP server for AI agents
An MCP-compatible endpoint exposes the governed semantic layer to Claude, ChatGPT, or any custom LLM or agent. Agents get the same governed definitions your BI tools use — no prompt engineering required to enforce metric consistency.
Full RBAC with row and column security
Semantic object RBAC sits on top of Snowflake's native security. Govern who can author models, who can query them, and what rows and columns they see — with a full audit trail for every query.
AtScale SML for composable models
Multidimensional semantic models are defined in AtScale Semantic Modeling Language (SML) — a version-controllable, CI/CD-friendly format. Models compose across domains without duplicating business logic.
Same foundation as the XMLA Endpoint
Enterprise AtScale extends Snowflake Semantic Views — it does not replace them. Every definition created in the XMLA Endpoint edition carries forward unchanged. There is no migration, no rip and replace.
Choose Enterprise when you need more than Snowflake alone.
Universal BI tool support
Power BI, Tableau, Excel, Looker, and any SQL or XMLA-capable tool connects to the same semantic model. One definition of every metric — delivered to every tool over the protocol it speaks natively.
Multi-warehouse compute routing
AtScale translates queries into the SQL dialect of whatever platform you use — Snowflake, Databricks, BigQuery, AWS or on-prem. The semantic layer governs meaning; you own and choose the compute.
MCP server for AI agents
An MCP-compatible endpoint exposes the governed semantic layer to Claude, ChatGPT, or any custom LLM or agent. Agents get the same governed definitions your BI tools use — no prompt engineering required to enforce metric consistency.
Full RBAC with row and column security
Semantic object RBAC sits on top of Snowflake's native security. Govern who can author models, who can query them, and what rows and columns they see — with a full audit trail for every query.
Start Smaller
Snowflake-only today?
The XMLA Endpoint for Snowflake Semantic Views, powered by AtScale, gets you live inside Snowflake Semantic Views in under two minutes. Upgrade to Enterprise whenever your stack grows — no migration required.
