AtScale announced at Snowflake?s annual user conference, Snowflake Summit 26, Snowflake Semantic Views XMLA Endpoint, powered by AtScale; a new integrated product offering that will be available in private preview soon. The XMLA Endpoint helps customers extend governed business definitions from Snowflake Semantic Views to Microsoft Power BI and Microsoft Excel without mirroring data into another analytics environment, relying on stale extracts, or recreating metric logic outside Snowflake. Snowflake Semantic Views provide a trusted semantic layer for Snowflake AI applications, including Snowflake CoWork and Cortex Agents, by defining consistent business metrics and dimensions.
AtScale extends those same definitions to Microsoft Power BI and Microsoft Excel through live connections, giving AI agents, dashboards, and spreadsheets a shared semantic foundation. For Snowflake customers, the embedded AtScale product is designed to bring governed Snowflake metrics to Microsoft analytics users through live access from Microsoft Power BI and Microsoft Excel, use XMLA-based connectivity so Microsoft Power BI and Microsoft Excel users can query trusted Snowflake metrics without fragile extracts or disconnected semantic logic, keep analytics workloads on Snowflake without mirroring data into another platform, creating duplicated extracts, or moving compute away from Snowflake, and deliver consistent answers across Cortex Agents, CoWork, dashboards, and spreadsheets by grounding each experience in the same governed definitions. For enterprises with broader semantic requirements, AtScale Enterprise extends this foundation beyond the embedded Snowflake use case to support time intelligence, hierarchies, dimensional modeling, advanced business calculations, additional analytic tools, AI agents, and data platforms. This keeps Snowflake at the center while allowing trusted business logic to reach the AI agents, warehouses, analytic tools, and SaaS applications enterprises depend on.
Snowflake Inc. is an artificial intelligence (AI) data cloud company. The Company provides a platform which powers the AI data cloud, enabling customers to consolidate data into a single source of truth to drive insights, apply AI to solve business problems, build data applications, and share data and data products. Its cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The cloud services layer enables users to securely use AI within applications, tools, and processes. Its platform supports a wide range of product categories for customers’ business objectives, including analytics, data engineering, AI, applications and collaboration.
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