Base environments are now supported on classic compute (Beta)
You can now use base environments to manage Python dependencies on classic compute. You can use Databricks-provided environments or custom workspace-level environments. See Manage dependencies using environments .
Read Databricks's release noteshttps://docs.databricks.com/aws/en/release-notes/product/2026/september#base-environments-are-now-supported-on-classic-compute-beta
Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.
More from Databricks
Databricks in September 2026
Every release of
Databricks Data Intelligence Platform
More Databricks Data Intelligence Platform releases
Automatic change data feed will soon be available in all supported regions
UpdateSQLApache IcebergRegions
The query history system table is now generally available
GASQLObservabilityDeveloper tools
The Databricks Excel Add-in is now generally available
GASQLGovernanceObservability
Also shipped on Sep 17, 2026
Gemini Omni Flash supports stateful and streaming video generation (Preview)
PreviewLLMsStreamingDeveloper tools