Databricks package
- Updated: 2026/05/12
Databricks package
Databricks connector enables seamless integration with your automation workflows, allowing you to run SQL queries, manage jobs, and handle files directly within Databricks.
You can now connect to Databricks directly from your automation
workflows, making it easier to work with your data, run queries, and manage data
processing tasks—all in one place. With this connector, you can
- Run SQL queries on your Databricks data and process large datasets with ease.
- Retrieve query results efficiently, even for high-volume data, using a scalable approach.
- Stop long-running queries when needed to maintain control over execution.
- View and manage jobs in your Databricks workspace, including running jobs and checking their status.
- Run existing jobs and monitor their progress and outcomes.
- Access job results and outputs for better visibility into your workflows.
- Upload files to Databricks for processing.
- Download files from Databricks to your local environment.
- Delete files when no longer needed.
Actions in the Databricks package
| Action | Description |
|---|---|
| Cancel job run | Cancel job run action |
| Cancel SQL statement | Cancel SQL statement action |
| Connect | Connect action for Databricks |
| Delete file | Delete file action |
| Disconnect | Disconnect action in the Databricks package |
| Download file | Download file action |
| Execute SQL statement | Execute SQL statement action |
| Get job run output | Get job run output action |
| Get job run status | Get job run status action |
| Get SQL statement result | Get SQL statement result action |
| List jobs | List jobs action |
| Run job | Run job action |
| Upload file | Upload file action |