Control-M for Google Dataflow

Google Cloud Platform (GCP) Dataflow is a managed service that enables you to perform cloud-based data processing for batch and real-time data streaming applications. 

Control-M for Google Dataflow enables you to do the following:

  • Connect to the Google Cloud Platform from a single computer with secure login, which eliminates the need to provide authentication.
  • Trigger jobs based on any template (Classic or Flex) created on Google Dataflow.
  • Integrate Dataflow jobs with other Control-M jobs into a single scheduling environment.
  • Monitor the Dataflow status and view the results in the Monitoring domain.
  • Attach an SLA job to your entire Google Dataflow service.
  • Introduce all Control-M capabilities to Google Dataflow, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Run 50 Google Dataflow jobs simultaneously per Control-M/Agent.

Control-M for Google Dataflow Compatibility

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

Control-M Application Integrator9.0.20.201
Control-M Web9.0.20.200
Control-M Automation API9.0.20.240

Control-M for Google Dataflow   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 via EPD.

Setting up Control-M for Google Dataflow

This procedure describes how to deploy the Google Dataflow plug-in, create a connection profile, and define a Google Dataflow 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 Google Dataflow plug-in from the Control-M Integrations page, or go directly to the Control-M for Google Dataflow download page.

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