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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.

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.

Bridge the gap between massive data and instant decisions. Learn how Sigma and Databricks power modern telecom analytics and workflows at MWC 2026.

Discover how Databricks CloudFetch integration with Sigma accelerates query performance by up to 10%. This blog explores how CloudFetch enhances data retrieval speed, user experience, and cost efficiency, providing real-time analytics and optimized data transfer for Sigma users.

Sigma leverages permissions established in Databricks Unity Catalog

Revisit what Sigma learned sponsoring Databricks' 2023 Data and AI World Tour, and what still holds up today.

Sigma's Input Tables for Databricks enable you to bring your own data, offering a flexible way to create or update tables with easy editing capabilities.