We performed a comparison between Automic Continuous Delivery Automation and Control-M based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."We have saved on our time costs and have seen more quality."
"It is an umbrella system that allows us to integrate many different systems into our heterogeneous environment."
"Self-service for developers, because they are able to deploy to development departments on their own, without needing people from operations."
"I think on a day-to-day basis, it has increased the capacity to deploy. We don't have to wait for someone to do something."
"The IT process automation is the most valuable aspect of this solution."
"The most valuable feature is the ability to see which problems have been resolved from deployment."
"Deployment workflow (WF) can be designed this way, so that it is not necessary to provide all applications (systems) artifacts of which an application consists."
"Gives people insight into what's happening during the deployment."
"Control-M has helped us resolve issues 70% to 80% faster. It provides us with alerts instead of having someone go to that particular server and check the logs to determine where the issue is. We can simply click on the alert information, then everything is in front of us. This provides us with time savings, human effort savings, and process savings."
"We have a better picture of our auditability. When someone comes to us, and asks for sources, "How did the deltas occur?" We can provide answers quickly, or at least quicker than what we used to. We are actually sure of the information that we provide, where before it was like, "Hmm, I think it comes from over there. Let me double check, but it gets really convoluted over here and I think that is where it comes from." Now, if it is within the Control-M environment, it has a straightforward answer that we can provide with confidence."
"It is simple to create, integrate, and automate data pipelines and to ingest data from different platforms. It integrates well between platforms."
"We can tie together all the workloads across the estate and make the whole process reactive to events."
"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."
"The most valuable features are the GUI console, stability, and workflow."
"The solution is innovative. Specifically for the overseas and time differences, you can feel the efficiency of Batch Impact Manager on jobs, batch processing, and impact management. It works the best on these kinds of issues. It saves us time and money, which is important. We save a lot using Control-M."
"The initial setup is straightforward."
"There is an issue with the stability in the tool. The process of agent will stop, then the monitoring agent can't be recognized because the process is running, but you can talk with the system."
"Not a perfect ten because the user interface is brand new and it needs improvement."
"key thing is support for cloud-based deployment. That is lacking."
"We hope that we can integrate the new CD Directive into our portfolio, so we can bring the deployment and release management closer together."
"The dashboard should allow you to see the current state of packages in each environment, not only on an individual application basis, but across the entire application platform."
"It would be very beneficial for us to see integrations into cloud environments, especially into the Google Cloud environment because we are heading towards cloud."
"One of the biggest features I've been asked by my team to put in there is opening more scripting languages to be part of the platform. There is a little bit of a learning curve in learning how to code some of the workflows in Automic at this time. If widely used languages like Perl and Python were integrated, on top of what's already there, the proprietary language, it would make it easier to on-board new resources."
"At the moment, the version that we are using (version 12.0), the environment is complex with multiple installations. Therefore, the monitoring is not scalable, but this should be improved in 12.1 and 12.2."
"Its architecture is old. AutoSys gives more flexibility."
"It is a very strong product, but the reporting could be better."
"The stability could be improved. I ran into an issue with a recent Control-M patch. The environment would become unstable if security ports were scanned. This is an area they need to improve on, but ultimately it's a relatively small improvement."
"The stability of Control-M has Not been great. A big thing we've been trying to work on with BMC is observability. Modern applications should be observable and resilient, but we're finding that sometimes Control-M is not very resilient and many times Control-M is not very observable."
"The Control-M API does not support SQL database-type jobs, where a job has been configured to use the SQL catalog to locate SSIS."
"The high availability that comes from BMC with its supplied Postgres database is very limited. Even using your customer-supplied Postgres database is problematic. We have engaged with them regarding this, but it is difficult. My company doesn't want to do this and BMC doesn't want to do that. We just need to find some middle ground to get the proper high availability. We're also moving away, like the rest of the world, from the more expensive offerings, like Oracle. We are trying to use Postgres, which is free. The stability is good. It is just that the high availability configuration is not ideal. It could be better."
"We have some plug-ins like BOBJ, and we need a little improvement there. Other than that, it has been pretty good. I haven't seen any issues."
"The biggest improvement they could have is better QA testing before releases come out the door."
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Earn 20 points
Automic Continuous Delivery Automation is ranked 17th in Release Automation while Control-M is ranked 4th in Process Automation with 110 reviews. Automic Continuous Delivery Automation is rated 8.0, while Control-M is rated 8.8. The top reviewer of Automic Continuous Delivery Automation writes "Reduces our time to market considerably with automated and consistent results". On the other hand, the top reviewer of Control-M writes "We have seen quicker file transfers with more visibility and stability". Automic Continuous Delivery Automation is most compared with UrbanCode Deploy, Nolio Release Automation and Microsoft Azure DevOps, whereas Control-M is most compared with AutoSys Workload Automation, IBM Workload Automation, Rocket Zena, ESP Workload Automation Intelligence and Automic Workload Automation.
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