We performed a comparison between Control-M and ESP Workload Automation Intelligence based on real PeerSpot user reviews.
Find out what your peers are saying about BMC, Tidal Software by Redwood, Redwood Software and others in Workload Automation."I find it very helpful to be able to keep track of all our help desk tickets."
"We are now able to deliver data to our data warehouses and dashboards promptly."
"There is a batch monitoring tool called Batch Impact Manager, which proactively warns when processing is behind and SLAs are in jeopardy of being missed."
"We can tie together all the workloads across the estate and make the whole process reactive to events."
"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."
"I find Control-M for SAP and Control-M for Informatica good. You can connect to the Linux or Windows servers, and you can run multiple jobs."
"The most valuable features are the GUI console, stability, and workflow."
"We used Control-M's Python Client and cloud data service integrations with AWS and, as a feature, it was very customizable. It gave us a lot of flexibility for customizing whatever data maneuver we wanted to do within a pipeline."
"The solution can scale."
"I am unsure if Control-M is compliant with Microsoft Azure environment integrations. We have some clients in Azure environments. Specifically, in Canada, government agencies and nonprofits mostly use Microsoft Azure."
"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 reporting functionality needs a lot of work. We have faced problems with different versions where we run the right report, but it gives us blank entries. Then, when we run the same report again, it gives the correct data."
"We've also had a few database bugs within our organization. I think we are migrating to OpenJDK rather than just regular Java and that has since shown some issues with our Control-M instance, timing out and causing our jobs to stop running. We are still working with BMC to fine-tune that and get that resolved."
"They can give more predefined plug-ins so that we don't have to create them."
"It is a very strong product, but the reporting could be better."
"I would like to have a web version of Control-M to replace the client. Currently, our support and jobs-creation teams are using the client and that needs to be installed on a PC. It's very heavy, consuming a lot of resources compared to the web portal. I know that they're trying to improve the client with the latest version, but for me, there hasn't been enough improvement yet."
"When it comes to supporting cloud services, Control-M is a bit slow. We are not advancing with the technology because we don't have the modules that can interact or use the new application services provided by the cloud technologies."
"The new version is going to have more web services where you could string together various web services so that you can create a workflow across multiple web services, which I don't think is there today."
Earn 20 points
Control-M is ranked 1st in Workload Automation with 110 reviews while ESP Workload Automation Intelligence is ranked 23rd in Workload Automation. Control-M is rated 8.8, while ESP Workload Automation Intelligence is rated 8.0. 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 ESP Workload Automation Intelligence writes "Stable, connects with everything, and has great technical support". Control-M is most compared with AutoSys Workload Automation, IBM Workload Automation, Rocket Zena, Automic Workload Automation and Redwood RunMyJobs, whereas ESP Workload Automation Intelligence is most compared with AutoSys Workload Automation, Stonebranch, IBM Workload Automation and CA 7 Workload Automation Intelligence.
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