Databricks integration
Connect your data lakehouse to see compute resources, jobs, and team members in your service inventory
What it connects
- Compute clusters and their status, configuration, and team ownership across your workspace
- SQL warehouses with capacity, uptime, and active sessions to track analytics infrastructure
- Scheduled jobs and workflows with creator, run history, and cluster assignments
- Workspace users and group memberships to maintain identity sync across your platform
What it automates
- Start or stop compute clusters and SQL warehouses to manage costs and availability
- Trigger job runs immediately or cancel active runs to control data pipeline execution
- Deactivate user accounts and manage group membership for offboarding and access control
- Revoke personal access tokens and manage cluster permissions to enforce security policies
In practice
Automatically deactivate Databricks users when they leave your organization and remove them from all group memberships in one action
Monitor all compute clusters and warehouses in your service inventory, then scale down unused resources during off-hours to reduce cloud spend
Trigger critical data pipelines on-demand from your ticketing system when high-priority requests arrive, and receive notifications of job failures
Audit and revoke stale personal access tokens across your workspace when users change roles, preventing unauthorized data access
