Sigma Launches Native Semantic Layer Integration and AI SQL Capabilities

Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, 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. 

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.

“Sigma’s integration with Snowflake Semantic Views isn’t just compatible — it’s truly native, built for flexibility, scale, and the next generation of analytics,” said Mike Palmer, CEO of Sigma. 

“By meeting the semantic layer where it belongs, we’re giving business teams instant access to governed metrics and logic without compromise. And this is just the beginning. From bi-directional syncs to visual semantic exploration, Sigma is building toward a unified modeling experience that brings clarity and control to every layer of the data stack.”

“The integration between Sigma and Snowflake’s Semantic Views marks an important step forward in enabling enterprises to leverage the state-of-the-art AI solutions available with Snowflake Intelligence and Cortex Analyst,” said Carl Perry, Head of Analytics, Snowflake. 

“This advancement helps our customers maximize the value of their data within Snowflake’s AI Data Cloud through AI and BI experiences, creating more efficient and powerful workflows for their teams.”

Also announced today at Snowflake Summit 2025, 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. 

This news comes on the heels of Sigma’s recent launch of its new File Column Type feature, allowing end users to connect unstructured content with structured data for the first time, making complex, real-world workflows fully executable inside Sigma.

Teams can upload files with Sigma, run them through Snowflake’s powerful LLM-based functions, and analyze the structured results alongside traditional datasets—no pipelines and no special tools required.