Session restore for serverless jobs is now in Beta
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job. Databricks automatically captures a state snapshot when an eligible run fails, runs 30 minutes or longer, or is cancelled, and keeps it for 7 days after the run completes.
Read Databricks's release noteshttps://docs.databricks.com/aws/en/release-notes/product/2026/august#session-restore-for-serverless-jobs-is-now-in-beta
Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.
More Lakeflow releases
Salesforce connector mTLS authentication is now generally available
GASecurityData integrationDeveloper tools
Performance mode now applies to materialized view and streaming table refreshes from dbt tasks
UpdateStreamingPricingPerformance
Default Python package repositories are GA for Lakeflow pipelines and classic compute
GAData integrationDeveloper tools
Also shipped on Aug 17, 2026
AI mode for sensitive data classification (Public Preview)
PreviewLLMsSQLGovernance
New SNOWFLAKE_COCO_USAGE_HISTORY view in Account Usage and Organization Usage (General availability)
GAPricingDeveloper toolsCoding agents