Databricks releases, every cloud Sep 2025 Jan 2026 May 2026 Sep 2026
4
releases of 1331
All time Last updated 13 hours ago
Released on
Not yet on
Product
Release AWS Azure GCP SAP Date Custom trace views in the MLflow trace explorer are in Beta Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Aug 12, 2026 MLflow trace storage in Unity Catalog is now in Public Preview Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs − Not on SAP Apr 30, 2026 Databricks Assistant Agent mode is now in Public Preview Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Dec 23, 2025 Databricks Assistant Agent mode: Data Science Agent is in Beta Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.
On AWS, read it on their docs On Azure, read it on their docs On GCP, read it on their docs · Unknown on SAP Sep 3, 2025
Custom trace views in the MLflow trace explorer are in Beta Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.
MLflow trace storage in Unity Catalog is now in Public Preview Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.
Databricks Assistant Agent mode is now in Public Preview Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.
Databricks Assistant Agent mode: Data Science Agent is in Beta Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.
Headlines, dates and product areas are Databricks' own, and every item links to the note it
came from. The one-line summaries are ours.