Sold by: BMC Software
Deployed on AWS
Control-M simplifies application and data workflow orchestration on hybrid environments, from mainframe to multi-cloud, making it easy to build, define, schedule, manage and monitor production workflows, ensuring visibility and reliability and improving service level agreements (SLAs).
4.3
Overview
Control-M simplifies workflow orchestration complexity, making it easy to define, schedule, manage and monitor complex application workflows, ensuring visibility, reliability and improved SLAs. It integrates, automates and orchestrates application workflows across on-premises, private and public clouds, so your jobs get delivered on time, every time. With a single unified view, you can orchestrate all your workflows, including file transfers, applications, data sources and infrastructure with a rich library of plug-ins. Easily provisioned in the cloud, Control-M leverages the ephemeral capabilities of cloud-based compute services. Using a Jobs-as-Code approach with REST APIs and JSON, workflows become versionable, testable, maintainable, and collaborative for developers and DevOps engineers as a part of their CI/CD pipeline.
For organizations with mainframe modernization initiatives, Control-M integrates with AWS Mainframe Modernization Service to preserve the continuity of mission-critical business outcomes.
BMC only sells Control-M via Private Offers and customized pricing, please reach out to BMC_Hyperscaler_Team@bmc.com if you want to make a purchase.
Highlights
- Simplifies workflows across hybrid and multi-cloud environments.
- Deliver data-driven outcomes faster by managing production data pipeline workflows in a scalable way.
- In-depth workflow observability with intelligent predictive analytics and reports
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 9
Deployed on AWS
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Pricing
Custom pricing options
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Additional details
Usage instructions
When your instance is created, log in as ec2-user to the the EC2 instance. You will be prompted to enter the required parameters to complete the installation. Parameters such as username and password. You can use any of values for the initialization questions , below an example for input: Pg sql database admin password - manager Retype password - manager Controlm database user - emuser Password - empass Retype password - empass Controlm server database owner - ctmuser Password - ctmpass Retype password - ctmpass
After the installation process is finished, Control-M runs using the local PostgreSQL server. To start using Control-M, once your AMI or stack is running, wait a few minutes for Control-M to initiate and then navigate to: https://<DNS>:8446.
Resources
Vendor resources
Support
Vendor support
BMC provides documentation and general support at our BMC DOCs site. We also offer direct support plans and support from BMC Partners. For more information please visit
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By BMC Software
By Workato, Inc.
By Stonebranch
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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Customer service
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AI generated from product descriptions
Workflow Orchestration Across Hybrid Environments
Orchestrates application workflows across on-premises, private and public clouds, including mainframe to multi-cloud environments
Jobs-as-Code with REST APIs
Supports Jobs-as-Code approach using REST APIs and JSON, enabling workflows to be versionable, testable, maintainable and integrated into CI/CD pipelines
Unified Workflow Management Interface
Provides a single unified view to orchestrate all workflows including file transfers, applications, data sources and infrastructure with a rich library of plug-ins
Intelligent Predictive Analytics
Delivers in-depth workflow observability with intelligent predictive analytics and reports for monitoring production workflows
Mainframe Integration
Integrates with AWS Mainframe Modernization Service to preserve continuity of mission-critical business outcomes during modernization initiatives
Low-Code/No-Code Development
Platform enables building automation workflows and AI agents without requiring code writing, supporting rapid development and modification of business processes.
AI Agent Orchestration
Supports creation and management of intelligent AI agents (Genies) that understand intent, adapt to business processes, and collaborate with humans and other agents for end-to-end automation.
Event-Driven Workflow Execution
Enables event-driven workflows for near real-time decision making with optional human oversight capabilities for critical business processes.
Cloud-Native Auto-Scaling
Provides cloud-native execution with automatic scaling capabilities to handle high-demand AI workflows that continuously learn and adjust.
Multi-Application Integration
Connects and orchestrates workflows across multiple cloud services and on-premises applications with enterprise-grade governance and security controls.
Workflow Design Interface
Browser-based drag-and-drop editor for designing automation workflows across on-premises, private cloud, and public cloud environments
Job Scheduling
Real-time event-based and time-based job scheduling capabilities for automated task execution
Monitoring and Analytics
Customizable dashboards with predictive analytics, SLA tracking, and real-time alerting for process monitoring
Integration Capabilities
Pre-packaged integrations and custom integration support for connecting to third-party solutions, mainframe systems, and cloud platforms
Managed File Transfer
File transfer functionality across on-premises, cloud, and B2B environments with lifecycle management
Standard contract
No
No
No
Customer reviews
Unnikrishnan R.
Simplifying Complex Workflow Automation
Reviewed on Sep 02, 2026
Review provided by G2
What do you like best about the product?
What I like most about Control-M is how it brings everything together in one place. It makes it straightforward to monitor workflows, see and understand job dependencies, and quickly spot issues when something goes wrong. On top of that, the automation cuts down on a lot of manual effort and helps keep day to day operations running more smoothly. It was reliable and stable, especially when handling large numbers of jobs and complex workflows.
What do you dislike about the product?
What I dislike about Control-M is that it can feel a bit complex at first, particularly when you’re setting up and managing more complicated workflows. Some configurations take quite a few steps to complete, and troubleshooting can be time-consuming at times. The user interface could also be more modern and intuitive, which would make day-to-day navigation easier. Overall, it’s a powerful tool, but new users should expect a learning curve.
What problems is the product solving and how is that benefiting you?
Control-M helps address the challenges of managing and monitoring complex workflows and scheduled jobs across different systems. It cuts down on manual effort, provides clearer visibility into job dependencies, and makes it easier to spot and respond to failures. As a result, processes are more likely to run on time, and day-to-day operations become more reliable, simpler to monitor, and less time-consuming.
Nikhil C.
Control-M: Exceptional Reliability for Complex Enterprise Workflows
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
What I like best about Control-M is its exceptional reliability and robust handling of complex enterprise job workflows and batch processing dependencies. As a backend engineer working with distributed microservices, managing scheduled tasks, file transfers, and downstream triggers seamlessly is critical. The platform's intuitive interface, powerful automation API, and comprehensive monitoring dashboard make it effortless to track execution statuses, troubleshoot failures, and ensure smooth, automated data pipelines across systems without manual intervention.
What do you dislike about the product?
The initial setup and configuration process can be quite steep and complex, requiring a significant learning curve for new team members to fully master the platform's workflow definitions and parameters. Additionally, the resource consumption and licensing costs are relatively high, making it a heavy tool for smaller-scale deployments or lighter environments. The user interface can also occasionally feel cluttered and sluggish when navigating through massive enterprise-scale job topologies and extensive historical logs.
What problems is the product solving and how is that benefiting you?
Control-M is helping us solve the fragmentation and lack of centralized visibility across our distributed microservices and batch data pipelines. Previously, managing disparate scheduled tasks and file transfers led to operational blind spots, delayed failure notifications, and heavy manual intervention overhead. By centralizing our workflow orchestration, Control-M has significantly reduced downtime, streamlined cross-system dependencies, and accelerated incident response times. This allows our engineering team to focus on building core application features rather than constantly troubleshooting broken data flows.
Recommendations to others considering the product:
Recommendations for improving Control-M include simplifying the initial setup process to reduce the learning curve for new users, optimizing resource consumption to make it more accessible for smaller deployments, and enhancing the user interface for smoother navigation through complex job topologies.
Anaswara S.
A Reliable Backbone for Enterprise Job Scheduling
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
Control-M has been really reliable for our batch processing. I like having everything in one place across mainframe, cloud, Hadoop, and ERP systems. The visual workflows make troubleshooting much easier, and the flexible scheduling and alerting save us a lot of manual effort. It’s not flashy, but it’s dependable and works well at scale.
What do you dislike about the product?
The biggest downside for me is the cost, especially as you scale and add more agents or features. It also has a bit of a learning curve, and the UI can feel dated in some areas. Upgrades and patching sometimes take more planning than expected, and custom reporting could definitely be more flexible.
What problems is the product solving and how is that benefiting you?
Control-M has helped us simplify job scheduling across different systems by giving us one place to manage and monitor everything. It’s reduced manual work, improved job reliability, and helped us catch issues before they turn into bigger problems. Overall, we spend less time babysitting jobs and have more confidence that our processes will run as expected.
B SHIVAKUMAR R.
Mainframes jobs Scheduling and monitor tool helps in managing Billion-dollar batch processing
Reviewed on Aug 31, 2026
Review provided by G2
What do you like best about the product?
It's a Mainframe jobs' Scheduling and monitor tool, but it works right within the mainframe through the regular old green screens, so I don't have to switch between systems. It's easy for me to use and fits naturally into our secure setup.
It connects well with other systems too, not just mainframe jobs, but distributed systems and file transfers as well which helps in my quick job's flow and its dependencies. So I get one place to track everything.
It performs well even when hundreds of jobs run during peak overnight batch cycles which process high Business logics. I can quickly see what ran, what triggered it, and what's next(dependencies), which makes troubleshooting fast and helps with daily Processing
Support has been reliable, with regular updates from BMC. I've also noticed newer versions adding AI features like predictive alerts, which is a good step forward. But we are exploring these features and trying to integrate with our systems.
And what impresses me most is that mainframe technology is almost 60 years old, and it's still running strong today - with Control-M playing a big part in keeping it going smoothly.
It connects well with other systems too, not just mainframe jobs, but distributed systems and file transfers as well which helps in my quick job's flow and its dependencies. So I get one place to track everything.
It performs well even when hundreds of jobs run during peak overnight batch cycles which process high Business logics. I can quickly see what ran, what triggered it, and what's next(dependencies), which makes troubleshooting fast and helps with daily Processing
Support has been reliable, with regular updates from BMC. I've also noticed newer versions adding AI features like predictive alerts, which is a good step forward. But we are exploring these features and trying to integrate with our systems.
And what impresses me most is that mainframe technology is almost 60 years old, and it's still running strong today - with Control-M playing a big part in keeping it going smoothly.
What do you dislike about the product?
Licensing and pricing are a real pain point. It isn’t cheap, and the cost adds up as we scale to more jobs, so only a few people end up having access to this tool. Also, the GUI can feel a bit dated compared to newer tools like TWS which I have been using it as well for other Projects.
What problems is the product solving and how is that benefiting you?
Before these tools like Control - M , overnight jobs needs on the mainframe had to be scheduled manually
It notify jobs failures via emails which help me in my support of jobs and with AI in place we are adding features where person who is responsible for production is notified via a call
It notify jobs failures via emails which help me in my support of jobs and with AI in place we are adding features where person who is responsible for production is notified via a call
reviewer2894370
Unified automation has reduced manual file transfers and now improves end‑to‑end monitoring
Reviewed on Aug 31, 2026
Review provided by PeerSpot
What is our primary use case?
Control-M is used for MFT service MFT features in daily work because files are transferred from one server to the target, and it is used primarily for integration between two systems. It is also used for scheduling and managing SAP jobs.
One workflow managed with Control-M currently involves encrypting files and transferring them to the bank, where the source system is encrypted and the encrypted file is transferred, which is easier to analyze and prevents breaches of flat files.
Control-M is used for MFT-based managed file transfers across different businesses globally, and the features provided by MFT in Control-M are believed to be the best for transferring files between on-premise and cloud systems.
Approximately 20 to 30 people use Control-M in the organization, performing various roles such as job configuration, administration, and usage for MFT and SAP jobs.
Control-M usage is being increased and businesses globally are being engaged to expand its implementation.
What is most valuable?
The favorite feature of Control-M is MFT manage file transfer, which is easy to integrate with other systems. It is used daily, and the API is utilized for admin activities and triggering Control-M jobs.
The API in Control-M helps automate tasks, such as creating jobs automatically using code in Visual Studio, enabling workload policies, job creation, and sharing the API swagger with the business to trigger Control-M jobs.
Control-M is a good tool with the best features for SAP scheduling.
Control-M has positively impacted Saint-Gobain by reducing manual work in file transfers, allowing automation of tasks, improvement of SLA, and enhancement of daily work and workload.
Control-M has improved organizational functionality by providing one platform to monitor jobs easily and access detailed logs to track SAP and MFT jobs with end-to-end visibility of job dependencies.
What needs improvement?
One area for improvement in Control-M is the ability to encrypt and decrypt files without needing to install an agent on the other side, and better customization options for SharePoint access in line with Saint-Gobain policy would be appreciated.
DevOps integration into Control-M needs to be explored more, as it is currently not being used in the organization but the potential benefits are evident.
For how long have I used the solution?
I have been working in my current field for almost 11 years.
What do I think about the stability of the solution?
Control-M is stable.
What do I think about the scalability of the solution?
Control-M's scalability is good.
How are customer service and support?
Customer support for Control-M is excellent, and that aspect is greatly appreciated.
Which solution did I use previously and why did I switch?
Previously, scripting was used for file transfers, which did not allow proper monitoring, leading to the switch to Control-M for both file transfers and SAP.
Other options were not evaluated before choosing Control-M because its features and functionalities were recognized in advance.
How was the initial setup?
Before Control-M, scripts had to be created manually for file transfers, which took a significant amount of time. With Control-M, jobs are simply set up through drag and drop, which has reduced effort significantly.
What about the implementation team?
Control-M is used for MFT-based managed file transfers across different businesses globally, and the features provided by MFT in Control-M are believed to be the best for transferring files between on-premise and cloud systems.
What was our ROI?
Although specific data is not available, Control-M has saved time in future implementations of end-to-end flows, making monitoring easier.
What's my experience with pricing, setup cost, and licensing?
Control-M pricing is good, though it is somewhat expensive; still, it offers great features.
Which other solutions did I evaluate?
Other options were not evaluated before choosing Control-M because its features and functionalities were recognized in advance.
What other advice do I have?
I advise others looking into using Control-M to experience its ease of monitoring jobs on a single user-friendly platform, streamlining job creation and monitoring.
The biggest lesson learned from using Control-M is that it reduces manual effort and increases productivity.
Control-M is effective for scheduling, managing, and monitoring workflows, and it is crucial for DevOps initiatives as it provides a single platform for monitoring related jobs, helping to reduce SLAs.
Control-M is good for my needs, and I would rate this review as a five out of five.