AI TOOL PROFILE
Control-M: Workflow Orchestration Software
- Operations
- Workflow Automation
- Enterprise organizations
- Mid-market companies
- DevOps teams
- IT operations managers
Pricing
The Starter Pack (SaaS) starts at $2,400 per month, billed annually. Enterprise pricing is available upon request.
At a glance
- Best for
- Enterprise organizations, Mid-market companies, DevOps teams, IT operations managers
- Key use cases
- Data Pipeline Orchestration, SAP Process Automation, Financial Fraud Detection, Supply Chain Coordination, Telecommunications Workflow Management
- Integrations
- Snowflake, Databricks, Airflow, Azure Data Factory, GCP Vertex AI
- Official website
- Visit control m official website
How AI is used
Control-M is a workflow orchestration tool for managing tasks across various systems, including cloud, distributed, and mainframe environments. It provides a graphical interface for designing and running workflows, which may reduce the need for extensive coding during setup.
The platform supports a variety of workflows, such as data pipelines, SAP processes, fraud detection, and supply chain coordination. It is designed for organizations handling high-scale operations, and buyers should confirm the specific resource requirements based on their chosen deployment model (SaaS or self-hosted).
Key Features
Drag-and-drop interface
A graphical user interface for visually designing and configuring workflows.
AI-powered orchestration
Supports generative and agentic AI for natural-language design and orchestration.
Mainframe and Cloud support
Designed to orchestrate workflows across mainframe, hybrid cloud, and SaaS environments.
Jobs-as-Code
Supports defining and deploying jobs as code via APIs, templates, and version control within CI/CD pipelines.
Control-M Agent
A component that executes and monitors jobs on a local system and reports status back to the server.
Use Cases
Data Pipeline Orchestration
Managing data flows across multi-cloud and on-premises environments from a single console.
SAP Process Automation
Coordinating SAP and non-SAP workloads to help keep business processes on track.
Financial Fraud Detection
Automating multi-application and multi-national financial data pipelines for fraud detection.
Supply Chain Coordination
Connecting systems and triggering actions in real time to support the movement of goods.
Telecommunications Workflow Management
Coordinating systems and data in real time to help prevent outages and resolve services.
Integrations
- Snowflake
- Databricks
- Airflow
- Azure Data Factory
- GCP Vertex AI
- Amazon Sagemaker
- Informatica
- Crew AI
FAQ
What is Control-M used for?
- Control-M is used to orchestrate and automate application and data workflows across different platforms, including cloud and mainframes.
Does Control-M require coding knowledge?
- It does not require extensive coding for basic design, as it provides a drag-and-drop graphical user interface.
What are the pricing options for Control-M?
- A SaaS Starter Pack is available starting at $2,400 per month (billed annually), and Enterprise pricing is available upon request.
Source category: Operations
Source subcategory: Workflow Automation
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