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    Control-M SaaS

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    Deployed on AWS
    Control-M SaaS is an application workflow orchestration platform that integrates, automates and orchestrates complex data and application workflows, leveraging AI capabilities across highly heterogeneous technology environments.
    4.3

    Overview

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    Fully Managed Enterprise AI Workflow Orchestration for AWS

    Run mission-critical application, AI, and data workflows without managing infrastructure. Faster delivery, consistent governance, and scalable automation, powered by AI.

    The solution integrates with Amazon Bedrock and leverages AWS GenAI services to create AI agents orchestrated by Control-M.

    Control-M SaaS delivers:

    • Fully managed enterprise AI orchestration, no infrastructure or upgrades to handle
    • Centralized control across application workflows, file transfers, and data pipelines that keep workflows running on time
    • Proven reliability, visibility, and governance for hybrid and multicloud environments
    • Natively integrates with AWS services (S3, Bedrock, Snowflake, etc.) and hundreds of other enterprise systems
    • Orchestrates AI agents in event-driven workflows
    • Modern AI assistant (Jett) and agentic AI capabilities to create workflows

    Start now by purchasing directly through AWS Marketplace.

    All the power of Control-M; delivered as SaaS.

    Learn more about Control-M  

    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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    Deployed on AWS
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    Buyer guide

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    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.

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    By BMC Software Distribution B.V.
    By Workato, Inc.

    Accolades

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    Top
    50
    In ELT/ETL, Agile Lifecycle Management
    Top
    50
    In Data Warehouses, ELT/ETL
    Top
    10
    In Sales & Marketing

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
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    Overview

     Info
    AI generated from product descriptions
    AI-Powered Workflow Orchestration
    Orchestrates AI agents in event-driven workflows and integrates with Amazon Bedrock and AWS GenAI services to create AI agents within orchestrated workflows.
    Multi-Cloud and Hybrid Environment Support
    Provides centralized control and governance across application workflows, file transfers, and data pipelines in hybrid and multicloud environments.
    Native AWS Service Integration
    Natively integrates with AWS services including S3, Bedrock, Snowflake, and hundreds of other enterprise systems.
    Workflow Observability and Predictive Analytics
    Delivers in-depth workflow observability with intelligent predictive analytics and reporting capabilities for production data pipeline workflows.
    AI-Assisted Workflow Creation
    Includes modern AI assistant (Jett) and agentic AI capabilities to automate workflow creation and management.
    Workflow Orchestration
    Orchestrates application workflows across on-premises, public, private and hybrid cloud environments
    Multi-Technology Integration
    Integrates file transfers, applications and data sources through a rich library of plug-ins
    Workflow Observability
    Provides in-depth workflow observability with intelligent predictive analytics and reports
    Data Pipeline Management
    Manages production data pipeline workflows in a scalable manner
    Unified Workflow Management
    Delivers a single unified view for orchestrating all workflows across heterogeneous technology environments
    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 Automation
    Enables reactive AI orchestrations with event-driven workflows for near real-time decision making and optional human oversight for critical processes.
    Cloud-Native Auto-Scaling
    Provides cloud-native execution with automatic scaling capabilities for high-demand AI workflows that continuously learn and adjust to support business growth.
    Enterprise Integration Capabilities
    Connects multiple cloud and on-premises applications including Amazon S3, Amazon SQS, Amazon SNS, Amazon RDS, Amazon Redshift, Amazon Lambda, and SaaS applications with enterprise-grade governance and security controls.

    Contract

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    Standard contract
    No
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    No

    Customer reviews

    Ratings and reviews

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    4.3
    77 ratings
    5 star
    4 star
    3 star
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    1 star
    61%
    39%
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    28 AWS reviews
    |
    49 external reviews
    External reviews are from PeerSpot .
    reviewer2859285

    Automation has transformed daily backups and job scheduling and now reduces manual workload

    Reviewed on Jun 22, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I have been using Control-M  on a daily basis. My main use case for Control-M  is the scheduling of processing of jobs. A specific example of a job I schedule with Control-M is OS jobs that run a script for backup.

    I use Control-M day-to-day mainly for database jobs, OS jobs, MFT  jobs, file transfer jobs, and many more.

    What is most valuable?

    In my opinion, the best features Control-M offers are advanced scheduling and the processing of various processes at a scheduled time.

    Control-M has impacted my organization positively by automating many of our daily based tasks. The automation has helped us as taking backup has become really easy; earlier, we used to do it manually, but now with the help of Control-M, we do it through automation.

    Control-M is deployed in my organization on-premises. It is easy to integrate Control-M with other technologies. We have added AWS  cloud as of now, and we are trying to move all of the infrastructure jobs to the cloud.

    Control-M has improved the way my organization functions by mainly automating all the backups and database jobs that we used to do manually. The implementation of Control-M has had a great impact on business-critical applications as it provides clear monitoring and troubleshooting for business-critical jobs within the SLA.

    What needs improvement?

    Everything is good regarding improvements for Control-M. There is no need for additional improvements.

    For how long have I used the solution?

    I have been working in my current field for seven months.

    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 great.

    How are customer service and support?

    The customer support is good. My experience with Control-M's customer support was good, and I would say it was helpful and responsive.

    Which solution did I use previously and why did I switch?

    I previously used Autosys. Before using Control-M, my organization used Stonebranch  because it was what we relied on for job scheduling and automation. I switched from Stonebranch  to Control-M because it was hard to understand, the scheduling was difficult, and it had fewer integration options with technologies.

    How was the initial setup?

    We directly chose Control-M without evaluating other options.

    What was our ROI?

    I have seen a return on investment with Control-M as we need fewer employees because it is really automated.

    What other advice do I have?

    I think the forecast is a feature to consider. I assess Control-M for building, scheduling, managing, and monitoring production workflows primarily through the Control-M GUI. The accuracy and reliability of Control-M's AI output are ninety percent accurate and reliable. My advice to others looking into using Control-M is to have it in their organization. I find this interview good and do not think any changes are needed for the future. I would rate Control-M a ten out of ten.

    Ivan Martínez

    Batch monitoring has improved and supports reliable mainframe and Windows job control

    Reviewed on May 13, 2026
    Review provided by PeerSpot

    What is our primary use case?

    I have used Control-M  mostly for batch monitoring across three projects with financial institutions. The primary focus was on batch monitoring and checking the health of the environment in production or pre-production settings. In almost every project, we implemented jobs that check network connection from the mainframe and database health. I monitored and controlled many different processes with Control-M . I mostly used the Windows version, but I have also used the version that operates inside the IBM mainframe.

    I did not use Control-M for audit preparation. I knew that other people in my company used Control-M for audit purposes, but that was not my case.

    What is most valuable?

    In the mainframe part, Control-M works smoothly and perfectly with no lag or problems. However, in Windows, it certainly has some problems at times. I do not remember which version I was using, but it has a lot of lag when you try to click for rerun. You click it, the job starts working, but the display does not show the information that the job is already running. Sometimes it does not have the option for confirmation, so it was annoying to click run and not see the job working or doing anything because of the lag on the screen. Sometimes you click rerun or click the rerun button twice, so you get a second run that you did not want, but because of the lag, you get the second run. This was the most annoying thing in Control-M.

    Regarding what I would want improved, the tool in the mainframe would be very helpful with a report that you can follow directly in the path of the jobs. In the Windows version, you have all the graphics, so you can follow your path and see when it is going to run and how it is scheduled, which allows you to work more easily to change, hold, or make any movement in the job. In the mainframe version, it is complicated sometimes to follow the same path. You need to consult a lot of documentation for the planning of how the jobs are done, but you cannot find this information directly in Control-M in the mainframe.

    What needs improvement?

    I think the biggest thing I would like Control-M to improve in the mainframe is some way to track or follow the jobs a little bit more graphically, similar to the Windows version. I know it is very complicated, but that is my feeling.

    I would appreciate Control-M being more complex when it has more features, such as when you are making the planning for the batch. The more complex your tool is, the more you can do for certain parameters or to put a job exactly between two different processes. You can accomplish more with a more complex interface and tools. I think probably other job scheduling tools get a little bit easier or offer a more light version and a simplified version, but I think not. At least for me, when I was making the planning or checking the batch, the more complex and different tools for the different situations that you have in the batch is the better.

    For how long have I used the solution?

    I have been working with Control-M for about five years.

    What do I think about the stability of the solution?

    There are a lot of stability issues, and it depends on the platform. In the mainframe part, Control-M works smoothly and perfectly with no lag or problems. However, in Windows, it certainly has some problems at times. I do not remember which version I was using, but it has a lot of lag when you try to click for rerun. You click it, the job starts working, but the display does not show the information that the job is already running. Sometimes it does not have the option for confirmation, so it was annoying to click run and not see the job working or doing anything because of the lag on the screen. Sometimes you click rerun or click the rerun button twice, so you get a second run that you did not want, but because of the lag, you get the second run. This was the most annoying thing in Control-M.

    What do I think about the scalability of the solution?

    I do not have a certain response for how scalable Control-M is because every time I have needed to use it, it covers everything and I think that is great scalability. However, I have never been in a situation in which Control-M is insufficient and I need a more powerful tool for scaling or anything related to that. So, at least for my experience, it is great.

    How are customer service and support?

    In the two projects I have been working on, the maintenance was from BMC directly. I actually did not know that other people can give maintenance or support directly to the tool because I have always used it through BMC, which actually provides great support. It is very useful and they respond very quickly, so I never figured out that we would probably need local support.

    In the last project, we had a BMC group who was in charge of us or they responded directly to the last enterprise, in the last company where I was, so it was very helpful. If we had any problem regarding Control-M or BMC, they have a team in the company ready to support us.

    Which solution did I use previously and why did I switch?

    I used another one, but I do not remember the name quite well. It was a bit more for DBA, but I do not remember. It was also a job scheduling tool, but I do not remember the name quite well. It was about six or seven years ago.

    How was the initial setup?

    The initial deployment was pretty easy. Even the one in the mainframe was easy to follow. The one in Windows is super easy to start working with, and if you have minimum knowledge about COBOL and how the mainframe works, you will be very easily walked through the JCL. Also, the feature that you can see the JCL in the Windows version is fantastic.

    What about the implementation team?

    I am probably not the correct one because I have never done a quotation for the team to integrate the tool for the team or for any specific project, so I do not have information about this.

    Which other solutions did I evaluate?

    As I said, I used another job scheduler in the past. I do not remember it quite well, but right now, it is very complicated to see another job scheduler that is not Control-M because I am very used to it. Also, since it is the principal tool in the mainframe for job scheduling, it is also complicated for me to try to figure out another tool for job scheduling because it has a lot of options. It is actually a pretty good tool for monitoring the jobs or for my experience and in the areas where I have been working. So, at this moment I cannot imagine another tool right now because Control-M is actually all that I need for my work.

    What other advice do I have?

    In the two projects I have been working on, the maintenance was from BMC directly. I actually did not know that other people can give maintenance or support directly to the tool because I have always used it through BMC, which actually provides great support. It is very useful and they respond very quickly, so I never figured out that we would probably need local support.

    For my last experience, I would give a rating of ten because we have this team specifically for us. However, in the past with another project when we had to call BMC directly for support, I think that overall I would give them an eight. I would give the support an eight overall.

    I give this review a rating of nine.

    Abhishek Singh

    Automation has transformed job scheduling and now saves significant time for multiple teams

    Reviewed on May 04, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Control-M  is serving as a Control-M  admin user where I manage Control-M, schedule jobs in it, and maintain the execution and troubleshooting of the jobs.

    A specific example of a job I schedule with Control-M includes scheduling SAP jobs, MFT  jobs, FT jobs, OS jobs, and Informatica jobs. I schedule many jobs on Control-M for different asset teams.

    I have automated many things that were running on Jenkins  to Control-M and deployed many automation parts for the scheduling team and admin team into the Control-M domain.

    What is most valuable?

    The best features that Control-M offers in my experience include a very easy scheduling component, a highly interactive GUI interface, and a variety of job types that I had never seen in different tools, including competitor tools of Control-M, such as AutoSys, TWS, Tivoli, or Dollar Universe. Control-M is a very easy tool, and it is easy to learn and easy to deploy.

    While the scheduling is easy and the GUI is interactive, I find that the setting of jobs and setting up a feature is very easy, and the deployment and promotion of jobs is very straightforward in Control-M.

    Control-M has positively impacted my organization by helping us automate many manual things specific to the development team.

    The main positive impact of Control-M includes time savings; we have automated many manual things that usually take six to seven hours, and now it is taking less than thirty minutes to one hour. We have reduced our time by almost fifty percent to eighty percent.

    What needs improvement?

    Control-M can be improved with a dashboard that should show the job execution time, output, and execution time, including start time and end time, for at least a year, so we could monitor everything on a single dashboard, similar to what can be created on Power BI, which could be integrated with Control-M.

    While the functionality of Control-M is very easy already, there is not much to do in the feature part, but the dashboard part showing the Control-M backend could be improved.

    For how long have I used the solution?

    I have been using Control-M for ten years.

    What do I think about the stability of the solution?

    In my experience, Control-M is very stable.

    What do I think about the scalability of the solution?

    Control-M's scalability has been good, as it has met my organization's needs as we have grown; the load balancer and load scheduling are very fine.

    How are customer service and support?

    The customer support for Control-M is very efficient and very fast.

    Which solution did I use previously and why did I switch?

    Previously, we were using AutoSys, but we switched to Control-M because AutoSys is more difficult than Control-M, primarily because the GUI is very interactive in Control-M.

    What was our ROI?

    I have seen a return on investment from Control-M, which includes it being a money-saver and a time-saver.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing for Control-M has shown that compared to different scheduling tools, Control-M is definitely a cheaper option, and the licensing part is actually very convenient compared to other tools.

    Which other solutions did I evaluate?

    Before choosing Control-M, we evaluated other options including Dollar Universe, TWS Tivoli, and AutoSys, and then we decided to move to Control-M.

    What other advice do I have?

    Around one thousand users are using Control-M in my organization, with most of them coming from asset teams or different application teams, while around one hundred are from scheduling, operations, and administration.

    I require about ten to fifteen staff specifically for the deployment and maintenance of Control-M, and their roles include consultant, scheduler, or administrator.

    Control-M is currently used very extensively in my organization, and we do have plans to bring different asset teams onboard on Control-M, as we are helping them with ideas and features of Control-M.

    The biggest lesson I have learned from using Control-M is that automation is very easy, and we can deploy almost anything into Control-M.

    Integrating Control-M with technologies for my DataOps and DevOps processes has been easy, particularly with AWS  and different Linux platforms.

    It has not been a specific challenge to integrate Control-M with those different Linux platforms or other technologies, as Control-M already has a feature to integrate multiple types of jobs, making it easy.

    My advice to others looking into using Control-M is that I would definitely suggest it because its features are very good.

    I have given Control-M an overall rating of eight out of ten.

    Which deployment model are you using for this solution?

    Private Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Himanshu Mohapatra

    Orchestration has streamlined enterprise workflows and consolidates complex job scheduling

    Reviewed on Apr 28, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I primarily use Control-M  for scheduling jobs for scripts, batch scripts, and Linux scripts. Most of the writing involves service restarts on servers.

    For data ops and DevOps processes, the requirement involves integration processes that need to be scheduled in Control-M , allowing management of cyclic processes for integration and continuous execution.

    For building, scheduling, and managing production workflows, access is available through the URL or from the client software, Control-M Configuration Manager.

    Control-M has made it easier to create workflows for both cloud and on-premises environments with features such as drag and drop functionality. This makes it simpler for users to create jobs and integrate them with dependent jobs.

    Control-M has helped consolidate job scheduler tools with features such as SMS and mail capabilities, which other scheduler tools do not provide.

    What is most valuable?

    The best features of Control-M are particularly effective for Windows scripts and Windows servers, mainly for service restarts.

    What is most appreciated about Control-M is that it is easy and reliable. Jobs that have been created can be accessed through the front end URL, where operations such as hold, release, and execution can be managed entirely from the user GUI front end.

    Workflow orchestration is important for data ops and DevOps tasks as it makes scheduling scripts and managing various aspects of operations much easier through a single screen.

    What needs improvement?

    There are areas for improvement in Control-M as it carries some vulnerability points that could be fixed in any version, or it could be made easier for organizations to repeatedly install or update new patches with more stable versions.

    For how long have I used the solution?

    I have been using Control-M for four years.

    What do I think about the stability of the solution?

    On a scale from one to ten, with ten being the best, Control-M's stability is assessed as a solid product at approximately eight or nine. BMC support provides robust backing, with new patches arriving daily and being integrated with previous versions to replace outdated updates and fix bugs while unlocking more features. No stability issues have been noticed during the four years of use.

    What do I think about the scalability of the solution?

    Regarding scalability, based on the features and how they help with day-to-day tasks, Control-M can be considered scalable.

    How are customer service and support?

    In terms of technical support, the focus involves creating scripts for service restarts on particular servers with the main target of providing support for automation services, automation management, job failure management, and managing the agent package and Control-M package.

    How was the initial setup?

    The deployment of Control-M is easier than other tools. There are no critical tasks or activities required to deploy on the server; it simply involves setup and installation on the server with the tool ready to use immediately.

    What's my experience with pricing, setup cost, and licensing?

    Regarding pricing, Control-M is not the cheaper option. License renewal is based on active jobs in a year, but it is cost effective. More features are provided compared to other tools at the same price.

    Which other solutions did I evaluate?

    When comparing Control-M with other solutions such as ActiveBatch , JAMS , and IBM, Control-M offers easier manageable operations for hold, release, and execution, which can be managed directly from its front-end URL. In its configuration tools where jobs are created, there are no difficulties encountered. Unlike other tools where dependency tools and jobs must be mentioned separately, Control-M provides direct drag and drop functionality with arrows. This is much easier than other tools such as IBM Task Scheduler or Jenkins .

    What other advice do I have?

    Approximately 2,000 to 3,000 people use Control-M, including users from Axis Bank where all employees are using Control-M.

    Control-M is recommended to other users by providing them a demo and showing them the uses, which helps them understand the benefits and features that Control-M provides that cannot be obtained from other tools. This allows them to rely on Control-M for their day-to-day tasks.

    One point is deducted from the overall rating because Control-M carries some vulnerability points. The overall rating for Control-M is nine out of ten.

    Md Saklen

    Centralized workflows have improved batch scheduling and visibility with AI-driven monitoring

    Reviewed on Apr 22, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for Control-M  is to process batch workloads. We have multiple batch scripts which need to be run at a particular scheduled time, and we use Control-M  for MFT  and certain kinds of services where we need files to transfer to the client location.

    For batch workload automation, we have SSIS  packages and Microsoft SQL packages which need to be executed through the batch file. For MFT , we have Excel files which need to be transferred from source to destination.

    What is most valuable?

    The best features Control-M offers are better visibility through the dashboard and an AI-enabled system where users can ask their workflow details through chatting with AI.

    The dashboard definitely helps to get better visibility because checking failures one by one by visiting the job is difficult. We are getting the exact figures through the dashboard.

    Control-M has impacted my organization positively by improving the SLA and the overall workflow. Timely, we are receiving triggers for daily notifications due to the SLA improvement, and such type of information is useful.

    What needs improvement?

    In areas where we need a notification alert whenever the agent goes down, that is something that can be improved so people and clients can be aware and can take immediate action to remediate agent-related issues.

    They can work on the integration part where Azure  storage and Azure-related things can be integrated seamlessly with Control-M.

    For how long have I used the solution?

    I have been using Control-M for the last two years.

    What other advice do I have?

    Control-M is a great platform to centralize all the workflows. I would rate this product a 9.

    Which deployment model are you using for this solution?

    Hybrid Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

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