Job Types

Airflow jobs enable you to monitor and manage DAG workflows within Control-M.

Trifacta jobs enable you to discover, organize, edit, and publish data in different formats and to multiple clouds, including AWS, Azure, Google, Snowflake, and Databricks.

Automation Anywhere jobs implement robotic process automation (RPA) into existing processes

AWS jobs enable you to define and run AWS Lambda, AWS Step Functions, and AWS Batch services.

AWS Batch jobs enable you to manage and run batch computing workloads.

AWS Data Pipeline jobs enable you to automate the transfer, processing, and storage of your data.

AWS EC2 jobs enable you to create virtual machines in Amazon's cloud computing platform.

AWS Glue jobs define data-driven workflows that automate the movement and transformation of data.

AWS Glue DataBrew jobs enable you to visualize your data and publish it to the Amazon S3 Data Lake.

Azure jobs define and run Azure Function, LogicApps, and Batch services.

Azure Batch Accounts jobs execute cloud-based Azure Batch Accounts for large-scale compute-intensive tasks.

Azure Data Factory jobs define data-driven workflows that automate the movement and transformation of data.

Azure Databricks jobs enable you to process large workloads of data.

Azure Functions jobs run serverless functions for application development.

Azure HDInsight jobs enable you to run an Apache Spark batch job for big data analytics.

Azure Logic Apps jobs enable you to design and automate cloud-based workflows and integrations.

Azure Synapse jobs run Azure Synapse Analytics pipelines for data integration and big data analytics.

Azure Virtual Machine is a cloud computing platform.

Boomi AtomSphere jobs enable you to integrate Boomi processes with Control-M workflows.

Databases jobs define and monitor Stored Procedure, SQL Script, SQL Server Integration Services (SSIS) Package, and Embedded Query database jobs.

Databricks jobs enable you to integrate jobs created in the Databricks environment with Control-M workflows.

Dummy jobs are used as placeholders for managing and synchronizing job flows without any execution.

File Transfer jobs enable you to watch and transfer files between hosts, or between Cloud storage buckets and containers.

File Watcher jobs enable you to monitor file changes, such as creation, or deletion.

GCP BigQuery is a computing service that you can use for data storage, processing, and analysis.

GCP Dataflow jobs perform cloud-based data processing for batch and real-time data streaming applications.

GCP Dataproc jobs perform cloud-based big data processing and machine learning.

Google Virtual Machine is a cloud computing platform.

Hadoop jobs enable the distributed processing of large data sets across clusters of commodity servers.

Informatica jobs enable you to automate an Informatica workflow, or tasks within the workflow, and define the parameters to pass to the workflow.

Informatica Cloud Services jobs enable you to integrate, synchronize, and relate data, applications and processes that reside on-premise or in the cloud environment.

Power BI jobs enable you to run Power BI workflows for data visualization.

OS jobs are used to execute a task on a specific distributed system.

Qlik Cloud is a cloud-based ETL service that allows you to visualize your data.

SAP Business Warehouse jobs enable you to run pre-defined SAP Process Chains, or SAP Infopackages and monitor their completion status.

Defines the SAP Data Archiving job type attributes.

SAP R/3 jobs enable you to copy an existing SAP job or create a new SAP job.

SLA Management jobs map out the critical path of a job workflow that needs to meet an SLA.

Snowflake jobs integrate with the Snowflake cloud computing platform for data storage, processing, and analysis.

Talend Data Management jobs enable data management and data integration.