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.
