Sigma announced at Snowflake Summit 2025, two major platform innovations in partnership with Snowflake: a first-class integration with Snowflake Semantic Views and support for AI SQL, Snowflake's breakthrough feature for querying unstructured data. Together, these advances enable governed semantic exploration and file-based AI-powered analysis--directly in Sigma's intuitive, spreadsheet-like interface. The combined innovations mark a leap toward unified analytics where both structured metrics and raw human context--contracts, images, PDFs, and text--are queryable side-by-side in a single governed system.
With this integration, Sigma unlocks warehouse-defined metrics, dimensions, and relationships for downstream analysis, dashboards, and apps - cementing the data warehouse as the single source of truth for semantics. This new integration offers joint customers the most seamless, warehouse-native analytics experience on the market. By partnering with Snowflake, the AI Data Cloud company, Sigma is helping to fully realize a long-held industry vision: semantic logic defined once, governed centrally, and accessed directly in the warehouse--no duplication, no drift.
Together, the companies are mobilizing the world's data to help organizations operate in an environment where semantic logic lives natively in the warehouse, not duplicated across disconnected tools. Bringing Structure to Unstructured Data - Powered by Cortex AISQL: Also announced at Snowflake Summit 25, is the news that Sigma is among the first analytics platforms to fully support Snowflake AI SQL, a new capability that lets users query unstructured data--like contracts, receipts, product specs, and image files--as if it lived in a table. Snowflake's AI SQL functions analyze the content using LLMs, and Sigma picks up the structured output and trends it live in dashboards or workflows.
This unlocks transformative use cases: Process thousands of vendor contracts; Review receipts as part of claims workflows; Extract key clauses from dense legal agreements; Attach evidence to operational data for full-context analytics; There's no need for custom pipelines, reformatting, or manual review. Just files in, answers out. Governed, traceable, and ready to use.
Joint customers can start using the semantic layer integration immediately through their existing Snowflake and Sigma environments as well as the full support for Cortex AISQL.
