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AI Columns are in beta for Snowflake and Databricks: run a plain-language prompt on every row to enrich, classify, and summarize data—governed, cached, and no code.

Learn how Sigma's Universal Result Cache makes workbooks load faster on every warehouse by reusing query results.

See how code representation turns every Sigma workbook into a structured spec you can read, write, version, and generate through the REST API.

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.

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.

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.

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.

Sigma's open-source migration skills let AI agents like Claude Code automatically convert Tableau, Power BI, Qlik, and ThoughtSpot dashboards into Sigma—with built-in parity verification so every number matches to the cent.