Control-M for Databricks

Databricks is a cloud-based data analytics platform that enables you to process large workloads of data.

Control-M for Databricks enables you to do the following:

  • Connect to any Databricks workspace using a Databricks Personal Access Token (PAT) for authentication. You can generate the PAT in your Databricks workspace without dependence on the cloud vendor.
  • Integrate Databricks jobs with other Control-M jobs into a single scheduling environment.
  • Monitor the Databricks workspace status and view the results in the Monitoring domain.
  • Attach an SLA job to your entire Databricks data service.
  • Introduce all Control-M capabilities to Databricks, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Run 50 Databricks jobs simultaneously per Control-M/Agent.

Control-M for Databricks Compatibility

The following table lists the prerequisites that are required to use the Databricks plug-in, each with its minimum required version.

Control-M Application Integrator9.0.20.201
Control-M Web9.0.20.200
Control-M Automation API9.0.20.245

Control-M for Databricks is supported on Control-M Web and Control-M Automation API, but not on Control-M client.

To download the required installation files for each prerequisite, see Obtaining Control-M Installation Files.

Setting up Control-M for Databricks

This procedure describes how to deploy the Databricks plug-in, create a connection profile, and define a Databricks job in Control-M Web and Automation API.

NOTE: Integration plug-ins released by BMC require an Application Integrator installation at your site. However, these plug-ins are not editable and you cannot import them into Application Integrator. To deploy these integrations to your Control-M environment, you import them directly into Control-M using Control-M Automation API.

Before you Begin

Verify that Automation API is installed, as described in Automation API Installation.


  1. Create a temporary directory to save the downloaded files.

  2. Click and follow the instructions on the EPD site to download the Databricks plug-in, or go directly to the Control-M for Databricks download page.

  3. Deploy the Databricks job via Automation API, as described in deploy jobtype.
  4. Create a Databricks connection profile in Control-M Web or Automation API, as follows:
  5. Define a Databricks job in Control-M Web or Automation API, as follows:
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