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Sigma is proud to be selected as a Databricks Lakehouse//RT launch partner. Learn how sub-second query performance on the lakehouse changes what's possible for real-time analytics.

Sigma natively integrates with Databricks Unity Catalog Business Semantics, surfacing governed KPIs, dimensions, and measures directly to analysts—no ETL, no sync pipeline, no version drift.

Ad hoc data analysis lets teams investigate unexpected questions on live data, without waiting weeks for reports. Learn how it works and best practices.

Sigma Tables with Databricks Lakebase closes the analytics write gap, turning Sigma into a true read-write application layer on the Databricks Data Intelligence Platform.

Databricks named Sigma its 2026 ISV Business Intelligence Partner of the Year for the second year running—plus four new capabilities Sigma shipped at Data + AI Summit 2026.

See all the product news Sigma announced since April: Sigma Agents hit public beta, Sigma Assistant unifies AI analysis and building, and code-backed workbooks create the fastest path to migrate from legacy BI.

Learn how Sigma's data team built J.A.K.E., a Snowflake Cortex Agent that combines Semantic Views and Cortex Search Services to power natural language analytics across Sigma Assistant, Sigma Agents, and the Sigma Slack integration.

Sigma Field CTO Greg Bonnette built a complete AI-powered expense management app in a single day — here’s how he did it, what features made it possible, and what the Sigma Agent added in just 10 more minutes.