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. Designed for large-scale data operations, it supports efficient processing, monitoring, and end-to-end automation of data and analytics workflows—all from a single platform.

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.

Key highlights

This connector is designed to support end-to-end data and analytics automation, helping you streamline tasks like data transformation, pipeline execution, and job monitoring—without leaving your automation platform. The key highlights are:
  • Designed for large-scale data operations with support for asynchronous execution.
  • Enables end-to-end automation of data workflows, including query execution and job monitoring.
  • Built with a scalable architecture aligned to Databricks workspace and compute model.

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 status
Get SQL statement result
List jobs
Run job
Upload file