We performed a comparison between Control-M and Red Hat Ansible Automation Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Camunda, Pega, Appian and others in Process Automation."Control-M has helped to improve our data transfers because it allows us to monitor the execution of the process. With other technologies, we cannot do that."
"Self Service, BIM features are most valuable. As no need to login to EM client and check the job status."
"It is very easy to use. The HA feature is also very good."
"The reporting is top-notch. I haven't found any other applications on the market that can replicate what Control-M offers. The alerting is very good, and I think their service monitoring is the best in the industry."
"Our data transfers have improved using Control-M processes, e.g., our monthly batches. When we used to do things manually, like copying files and reports, we used to take three to four days to complete a batch. However, with the automated file transfers and report sharing, we have been able to complete a batch within two and a half days and our reports are on time to users. So, 30% to 40% of the execution time has been saved."
"In Helix Control-M, we have the automation API that allows us to customize and do integrations easily in any script, such as Java or Python. It is all integrated within the integration API."
"The multiple scheduling options allow you to do anything you want, whenever you want, and however you want. You can easily be in control when things happen."
"It has multiple features. You can plan your execution in Control-M. It provides one single window where you can define workflows regardless of geographic boundaries and platforms. A batch process can be executed from this single window. It provides insights into your processes. Your business people will know what process they are running and what is the state of the process. Instead of knowing that they're not going to meet the SLA the next morning, the business people immediately know the changes in their process. Control-M is very easy. I can tell a non-technical person that this is how it works, and he would be able to easily understand it. Business people can understand the methodology of Control-M and the intuitive features that it has. It has a fantastic graphical user interface and is easy to understand. You just have to drag and drop but in a very intuitive way. Monitoring features are also good. It has different color coding schemes, which can help you to understand the status of your workflow. An operator who is not that technical and is just monitoring the status of the application can see by color-coding the status of a process. If anything goes wrong or a process is stuck, it gives you a hint. You can just right-click and see the logs and the output. Even if the system is not right there in the data center and is located somewhere else, you can monitor it right from there and see the workflows."
"The playbooks and the code the solution uses are quite useful."
"The most valuable features of Red Hat Ansible Automation Platform are the agentless platform and writing the code is simple using the Yaml computer language."
"It has an easy-to-use interface. It is REST API driven, and it integrates with Active Directory. It provides the ability to grant permissions to other users who would not necessarily have those permissions via the GUI so that they could run other people's jobs. For example, you could have the Oracle team grant permissions to the Linux team so that they can use each of those playbooks or each other's code. It is called shift-left."
"It has made our infrastructure more testable. We are able to build our infrastructure in CI, then are more confident in what we are deploying will work, not breaking everything."
"It is agentless. I don't have to think about which client system my unit has understanding in or not, because I can execute from my system. It will go and configure it, and any module that it is looking for will be shipped out."
"It enabled me to take the old build manifest and automated everything. So when it came time to spin everything up, it was quick and simple. I could spin it up and test it out. And then, when it came time to roll production, it was a done deal. When we expanded to multiple data centers, it was same thing: Change a few IP addresses, change some names, and off we went."
"The solution is very simple to use."
"The most valuable feature is that Ansible is agentless."
"A lot of the areas of improvement revolve around Automation API because that area is constantly evolving. It is constantly changing, and it is constantly being updated. There are some bugs that are introduced from one version to the next. So, the regression testing doesn't seem to capture some of the bugs that have been fixed in prior versions, and those bugs are then reintroduced in later versions."
"I'm not sure how the solution fits together with our business modernization initiatives, as there are things outside of my area, even though Control-M is the scheduling tool of the company. They may use other things, e.g., Big Data."
"The community and the networking that goes on within that community need improvement. We want to be able to reach out to an SME, and say, "Hey, we are doing it this way. Does that make sense?" Ideally, they come back. and say, "Yes, it does make sense to do it that way. However, if you want to do it this way, then it is a little more efficient." We understand that one solution framework doesn't fit everybody. Depending on the breadth of the data and how broad it is, you may have different models for one over the other."
"The next major release needs to focus on the lightweight web client."
"A developer sandbox could be very helpful to try out new features or experience them."
"I would like to see them adopt more cloud. Most companies don't have a single cloud, meaning we have data sources that come from different cloud providers. That may have been solved already, but supporting Azure would be an improvement because companies tend not to have only AWS and GCP."
"The main area that could be improved would be documentation, just like every other software product out there!"
"Some of the documentation could use some improvement, however, it gets you from point A to point B pretty quickly to get the solution in place."
"The area which I feel can be improved is the custom modules. For example, there are something like 106 official modules available in the Ansible library. A year ago, that number was somewhere around 58. While Ansible is improving day by day, this can be improved more. For instance, when you need to configure in the cloud, you need to write up a module for that."
"The solution must be made easier to configure."
"The job workflow needs to be worked on. It's not really clear to how you actually link things together. What they probably could do is provide an example workflow on how to stitch things together. I think that would be very helpful."
"What we need is model-driven, declarative software infrastructure management. However, things tend to break with new versions, requiring a lot of work to fix…The focus should be on improving the support for Ansible in the area of AI coding."
"Networking needs to be improved."
"There are some options not available in the community edition of the solution."
"The tool should allow us to create infrastructure. It has everything when it comes to management, but it lacks the provisioning aspect."
"Performance has been an issue on larger environments, but it has gotten a lot better over the past two years."
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Control-M is ranked 4th in Process Automation with 110 reviews while Red Hat Ansible Automation Platform is ranked 1st in Configuration Management with 58 reviews. Control-M is rated 8.8, while Red Hat Ansible Automation Platform is rated 8.6. The top reviewer of Control-M writes "We have seen quicker file transfers with more visibility and stability". On the other hand, the top reviewer of Red Hat Ansible Automation Platform writes "Capable of broad integrations with easy-to-operate infrastructure and user controls". Control-M is most compared with AutoSys Workload Automation, IBM Workload Automation, Rocket Zena, ESP Workload Automation Intelligence and Stonebranch, whereas Red Hat Ansible Automation Platform is most compared with Red Hat Satellite, Microsoft Configuration Manager, VMware Aria Automation, Microsoft Azure DevOps and Cisco DNA Center.
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