Sold by: BMC SoftwareÂ
Deployed on AWS
Control-M SaaS is a SaaS application workflow orchestration platform that integrates, automates and orchestrates complex data and application workflows across highly heterogeneous technology environments.
Overview
Control-M SaaS integrates, automates, and orchestrates application workflows on-premises, and in public, private and hybrid clouds, so your jobs and business services are delivered on time, every time. With a single unified view, you can orchestrate all your workflows, including file transfers, applications and data sources with a rich library of plug-ins.
Data Sheets:
Control-M on AWS
https://documents.bmc.com/products/documents/89/40/488940/488940.pdfÂ
Blogs:
Predictive Maintenance with AWS and Control-M
https://aws.amazon.com/blogs/apn/orchestrating-a-predictive-maintenance-data-pipeline-on-aws-and-control-m/Â
Model Training & Evaluation for Financial Fraud Detection with Amazon SageMaker & Control-M
https://www.bmc.com/blogs/fraud-detection-controlm-sagemaker/Â
Integration with AWS Glue
https://community.bmc.com/s/news/aA33n000000TXlCCAW/five-easy-steps-to-integrate-controlm-and-aws-glueÂ
Integration with AWS Lambda
https://community.bmc.com/s/news/aA33n000000PEq2CAG/how-to-integrate-aws-lambda-with-controlm-and-bmc-helixÂ
Customer Stories:
Air Europe
https://www.bmc.com/customers/air-europa.htmlÂ
Dominos
https://www.bmc.com/customers/dominos-pizza.htmlÂ
Powered by Your Voice: BMC Celebrates 2025 TrustRadius Top Rated Awards https://community.bmc.com/s/news/aA3cx0000004cEnCAI/powered-by-your-voice-bmc-celebrates-2025-trustradius-top-rated-awardsÂ
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
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Units | One unit of Helix Control-M | $10,000.00 |
Vendor refund policy
BMC Does not provide refunds
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
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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.
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 visitÂ
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 BMC Software Distribution B.V.
Top
50
In ELT/ETL, Agile Lifecycle Management
Top
50
In Data Warehouses, ELT/ETL
Top
25
In ELT/ETL
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Workflow Orchestration
Integrates and automates complex data and application workflows across heterogeneous technology environments
Multi-Cloud Support
Supports workflow management across on-premises, public, private, and hybrid cloud infrastructures
Plug-in Library
Provides a comprehensive library of plug-ins for orchestrating file transfers, applications, and data sources
Predictive Analytics
Offers intelligent predictive analytics and reporting for in-depth workflow observability
Pipeline Management
Enables scalable management of production data pipeline workflows with comprehensive monitoring capabilities
Workflow Orchestration
Automates and integrates complex data and application workflows across heterogeneous technology environments
Multi-Cloud Support
Enables workflow management across on-premises, public, private, and hybrid cloud infrastructures
Workflow Observability
Provides intelligent predictive analytics and comprehensive reporting for workflow monitoring and management
Plug-in Ecosystem
Includes a rich library of plug-ins for integrating diverse file transfers, applications, and data sources
Pipeline Management
Supports scalable management of production data pipeline workflows with comprehensive orchestration capabilities
Data Pipeline Orchestration
Native support for Apache Airflow with advanced workflow management and scheduling capabilities
Integration Ecosystem
Over 1,600 validated integrations with databases, AWS services, and popular applications
AI-Powered Development
AI-powered integrated development environment (IDE) for creating and validating data pipelines with in-browser testing
Remote Execution
Support for remote execution agents enabling distributed workflow processing
Version Control
Integrated DAG versioning for tracking and managing data pipeline changes
Standard contract
No
No
No
Customer reviews
4.1
15 ratings
15 AWS reviews
|
125 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Paige C.
Clear Job Visibility and Seamless API Integration
Reviewed on Nov 21, 2025
Review provided by G2
What do you like best about the product?
I like that Control-M gives me a clear view of all scheduled jobs in one place. The visual flows and logs make it easy to track failures, understand what went wrong, and share details with developers. It also supports job changes through the API, which helps keep deployments consistent.
What do you dislike about the product?
It’s a powerful tool, but it can feel heavy at first. Managing many jobs and modules takes time, and new users need training to use all features. Costs can also go up if you add more components.
What problems is the product solving and how is that benefiting you?
Control-M reduces manual work, keeps workflows consistent, and helps us fix issues faster. It centralizes job monitoring and file transfers, which makes support work much easier and more predictable.
Jackson S.
Centralized Job Scheduling Made Easy with Cloud Convenience
Reviewed on Nov 21, 2025
Review provided by G2
What do you like best about the product?
Control-M lets me schedule and run jobs from one place, so small teams can stop running manual scripts and avoid missed tasks. The cloud/SaaS option makes it easier to get started without heavy servers.
What do you dislike about the product?
It can feel more complex than a simple scheduler. There is setup work and some learning needed, and the Starter Pack SaaS has a noticeable monthly cost for small businesses.
What problems is the product solving and how is that benefiting you?
It automates routine batch jobs and file moves so my team spends less time on manual runs and troubleshooting. Built-in logging and managed file transfer make audits and secure file handling easier.
Packiyaraj Raja
Saves significant weekly effort by automating job scheduling and ensures immediate task transitions
Reviewed on Nov 19, 2025
Review from a verified AWS customer
What is our primary use case?
Control-MÂ is used to run Oracle scripts with scheduled jobs including monthly, weekly, and yearly schedules. Around 50 or more jobs are run every week. Control-MÂ connects to the database, triggers all procedures, performs the operation, and generates the final report. The log is sent to mailboxes detailing how the process went, any issues, or any errors. If there are issues, the mailbox is checked; otherwise, a message indicating successful completion is received along with statistics such as how much time the process took and which processes were run. Jobs are scheduled once, Control-M jobs are created, timing is set up, and the jobs fire automatically at the particular time.
Control-M is used to connect to Oracle products, and through Control-M, a Tableau dashboard is maintained. Most of the scheduling jobs use Control-M to schedule. Control-M helps all products, making it a utility that can be used wherever scheduling features are needed. It is not just for DevOps, databases, or front-end applications; it can be used anywhere without manual intervention to perform particular activities. Wherever there is an opportunity for scheduling jobs, Control-M is the first option.
For migration, Control-M is considered very good. Once all the source and target details are configured in Control-M, it can automatically migrate data. It requires proper configuration and specifying the necessary changes for target technology along with the source system scripts. If properly configured, the complete migration can be triggered end to end. Data migrations and reporting, along with all scheduling activities, can be efficiently managed.
What is most valuable?
The best features in Control-M include sending emails to mailboxes after the process is completed and providing proper acknowledgement reports. The timing is impressive; it connects very fast and performs activities efficiently. The UI is very friendly, making it easy to configure jobs in Control-M. If core technology scripts are available, creating Control-M jobs is a five-minute task. The GUI is very friendly, which simplifies task assignment, scheduling, canceling, and all these operations, making it easily navigable.
Every week, 50 jobs are run using Control-M. If those 50 jobs were being run manually, it would take more than a week. Through Control-M, the jobs are able to be scheduled within two days, saving around five days of effort.
Before Control-M, jobs would be run on Friday evening so that the process would end by Sunday night, allowing the business to start on Monday. Without Control-M, everything would have to be run manually throughout the week. Thanks to Control-M, around five days are being saved. Otherwise, old data would be received for the current week's business, but now the latest data is received.
What needs improvement?
Control-M has room for improvement in displaying dashboard-like graphical reports once processes are completed. For example, after scheduling 50 jobs, if a dashboard showing the completed scripts, status, and time taken is displayed within Control-M itself, it would be very helpful. Currently, mailboxes are checked for reports; if it were in Control-M, anyone could check it. Only those configured with specific mail IDs receive emails, so if a few members are not set up, they will not see the reports. If it were available in Control-M, those users could directly check the dashboard.
For how long have I used the solution?
Control-M has been used for the last two years from the beginning of the project level. Earlier, it was already there in Control-M that the client was using.
What do I think about the stability of the solution?
The same score for stability is a nine out of ten.
What do I think about the scalability of the solution?
Control-M is capable of handling a large volume of processing if the necessary memory space is provided to the server.
How are customer service and support?
Great support is received, with a rating of nine out of ten.
How would you rate customer service and support?
Positive
What other advice do I have?
Control-M would definitely be recommended because it saves a lot of time. If everything were being done manually, it would take a lot of time to run and validate scripts. If everything is configured in Control-M, even non-experts like front-end staff can trigger jobs, making it simple. It is a one-time configuration, and anyone can trigger it. That is the best part; significant time is saved, and there is no waiting time; the next process starts immediately once the current one is completed. If dependencies are set in Control-M, it starts the next task automatically. That is why Control-M is highly recommended for scheduling.
The client is a big enterprise client.
Control-M requires occasional maintenance, maybe yearly or once every six months for upgrades. A Control-M team manages activities such as maintenance every six months or once a year, including cleaning up scripts or memory.
Around 15 members are using Control-M.
The overall review rating for Control-M is ten out of ten.
Mike B.
Robust Security and Centralized Control for Enterprise Workflows
Reviewed on Nov 18, 2025
Review provided by G2
What do you like best about the product?
I like that Control-M has solid security controls. It lets us manage access, track every action, and encrypt file transfers. The audit logs are clear, which helps during reviews or investigations. It brings all jobs into one place, making it easier to keep processes safe.
What do you dislike about the product?
Setting up all the security rules takes time, and managing large environments can feel heavy. Some screens are complex, and you need strict standards to avoid mistakes. It can also get expensive when you add more modules.
What problems is the product solving and how is that benefiting you?
Control-M helps us automate jobs securely, reduce manual errors, and keep sensitive workflows protected. It gives us clear logs, controlled access, and a dependable way to manage scheduled tasks across different systems.
Shivani G.
Reliable and Efficient Workflow Management with Control-M
Reviewed on Nov 17, 2025
Review provided by G2
What do you like best about the product?
I really appreciate how Control-M simplifies the management of complex workflows. The centralized dashboards are extremely valuable to me, enabling a comprehensive view of all my jobs, dependencies, and SLAs in one location. This centralization significantly improves my efficiency by providing quick access to critical information. I also love how swiftly I can troubleshoot failures thanks to the clear logs and alerts, which save me a lot of time. Overall, Control-M makes my batch processes more reliable, automated, and predictable. These features collectively streamline my operations and ensure that our workflows are both reliable and highly efficient.
What do you dislike about the product?
I feel that the user interface of Control-M is a bit heavy and not very intuitive, especially for new users. This complexity sometimes leads to creating complex workflows requiring more clicks than anticipated. Additionally, the logs provided can be overly detailed, which makes identifying the exact error line time-consuming. While the platform is reliable once familiar, these initial challenges can be a hurdle.
What problems is the product solving and how is that benefiting you?
I use Control-M to automate and monitor workflows, minimize manual errors, ensure timely batch processing, handle dependencies, and swiftly resolve failures, enhancing the reliability and efficiency of our operations.