Data and AI releases

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Automatic cost attribution for materialized views and streaming tables in Databricks SQL

UpdateVerified

Materialized view and streaming table refreshes in Databricks SQL now inherit custom tags from the enclosing SQL warehouse environment. These tags propagate to billing surfaces like system.billing.usage , enabling proper cost attribution of materialized view and streaming table updates back to the source SQL warehouse.

SQLStreamingGovernancePricing

Read on docs.databricks.com

Also shipped Aug 3, 2026Databricks in August 2026 →

Organization Hub (General availability)

The Insights page under Organization Hub presents interactive tiles that show trends, alerts, and summary data for your entire organization. The feature is now generally available to customers who have ORGANIZATION_USAGE premium views enabled, and is no longer in Preview .

GA
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Environment variables for serverless jobs are in Beta

Environment variables for serverless Lakeflow Jobs tasks are in Beta . You can define named environment variable entries at the job level and select one for each task to pass deployment-specific configuration to your application code. A workspace admin must enable the preview from the workspace Previews page.

Beta
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SharePoint connector (GA)

Both SharePoint connectors in Lakeflow Connect are now generally available: the managed connector for fully managed ingestion pipelines, and the standard connector for custom pipelines built with Spark and SQL APIs.

GA
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PagerDuty connector (Beta)

The managed PagerDuty connector in Lakeflow Connect is now available in Beta. The connector ingests incident, on-call, service, and audit data from PagerDuty into Databricks. See PagerDuty connector .

Beta
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NetSuite connector (GA)

The managed NetSuite connector in Lakeflow Connect is now generally available. The connector allows you to ingest ERP and financial data from Oracle NetSuite into Databricks. See NetSuite connector .

GA
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Google Drive connector (GA)

Both Google Drive connectors in Lakeflow Connect are now generally available: the managed connector for fully managed ingestion pipelines, and the standard connector for custom pipelines built with Spark and SQL APIs.

GA
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REPLACE USING flows for pipelines (Beta)

REPLACE USING flows are now available in Lakeflow pipelines in Beta . Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged.

Beta
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