Databricks releases, every cloud
- Inbound Private Service Connect for performance-intensive services (Beta)
Enables private connectivity to services like Zerobus Ingest and Lakebase Autoscaling on Google Cloud.
- Cross-workspace access for serverless (Beta)
Controls serverless network traffic between workspaces with ingress and egress rules.
- 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.
- Serverless outbound Private Service Connect to customer-managed resources (Public Preview)
Keeps traffic off the public internet, adding network-layer defense against data exfiltration through customer-managed Google Cloud service attachment.
- Context-based ingress control for workspaces public access is now generally available
Uses allow and deny rules to control access based on identities, network sources, and request types.
- MLflow trace storage in Unity Catalog is now generally available
Stores traces in OpenTelemetry format with unlimited storage and SQL query access.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Allowlist partner platform IPs in context-based ingress control (Beta)
Supports Power BI, Tableau Cloud, and dbt platform, with automatic IP list updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Block specific internet destinations in network policies (Public Preview)
Blocks destinations regardless of network access mode, enforced through REST API.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Customer-managed keys now support MLflow managed evaluation features
Supports MLflow 3 scorers and requires non-CMK encrypted catalog.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Connect Databricks to on-premises resources using an SSH reverse tunnel
Uses proxy VMs in AWS, replacing inbound firewall access.
- Serverless egress control is now generally available
Manages outbound connections with restricted access and FQDN filtering.
- GCP Private Service Connect generally available
No account team request needed to enable.
- Updates for customer-managed VPC workspaces (Public Preview)
Adds Private Service Connect conversion and network config changes.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.