Control-M is a scheduler tool, and we have multiple batch jobs that are currently running in our organization.
We are currently one version behind the latest one. The latest version is 9.0.19.200, which also has Control-M Python Client, and we are planning to go for the latest version.
We currently have it on-premises on the Windows platform. We are planning to migrate to AWS.
We have multiple technologies, and we have different types of jobs, such as Informatica jobs, SAP jobs, database jobs, web service jobs, etc. In such an environment, from the support perspective, usually, we need to log in to multiple technologies and check if a job is executed or not and if there is any error, which is not easy. Control-M acts as a one-stop shop to check the status of all jobs. The maintenance or support team members can easily log into Control-M and verify the job status.
It has been helpful in reducing the burden on our resources during the weekend. It has also been helpful in reducing delays and data mismatches.
It is easy to create, integrate, and automate data pipelines with Control-M. You can drop and drag whatever you want and then provide a time for the scheduler. There are many inbuilt plug-ins, such as the Informatica plug-in and the SAP plug-in. We are using these plugins. It is pretty easy and simple.
It allows us to ingest and process data from different platforms. For example, you can have a flow that starts with a REST call. Once that is processed, the records are picked from the database and sent to SAP. You can easily design a pipeline workflow and schedule jobs. You can also specify the dependencies. For example, you can specify to execute Job B when Job A is completed or execute Job C when Job A and B are completed. There are multiple options in Control-M to ingest and not miss data from any platform.
Testing is easy. You can have multiple environments, such as development environment, testing environment, staging environment, and production environments. You can easily test your workflows, and you can easily promote from one environment to another environment. You can promote from the development environment to the staging and production environment. There is an option called Promote, and you can use that option to promote to whichever environment you want.
We are an enterprise, and when the data moves from one technology to another technology, multiple teams get involved, which requires multiple communication exchanges between the teams. Sometimes, there might also be delays in getting the data from one team. With Control-M, we can create a workflow where we can specify to proceed for job B after job A. There is no need for a team to send emails to another team. There is no delay. Team A doesn't have to inform team B to run a job because otherwise, there will be a delay. Control-M eliminates such issues. It has improved our business service delivery speed.
It has good reporting capabilities. You can get a report of the status of all your jobs. You can see how many jobs are pending and how many are processed. You can also share these reports with the management. There is also a URL that you can give to your management or customers. They can check the job status, and they will have knowledge about the status and any abnormalities.
Automation of Control-M has improved the speed of process execution. No manual intervention is required using Control-M. You don't need to have a resource waiting to do a job at a certain time. You can automatically schedule a job, even over the weekend. It results in faster speed and better utilization of resources. You can also integrate it with other solutions. For example, if a job fails, a ticket can automatically be created in ServiceNow or BMC Remedy and assigned to a specific group so that they can look into it.
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.
Control-M Managed File Transfer is also a very nice feature for transferring multiple files.
It meets our requirements, and it is simple and easy to use.
They can give more predefined plug-ins so that we don't have to create them.
The security layer for Control-M MFT can be better.
We have been using Control-M for the past six years.
Its scalability is good. We would like to increase its usage, but its price is a challenge.
Their technical support is very good. They also have a community portal. I would rate them a nine out of ten.
We didn't use any other solution previously.
I am responsible for installing and managing Control-M. Its initial setup was straightforward. It took about nine hours to get it installed and up and running. The number of people required for deployment and management of jobs depends on the scope of your operations. If you have 50,000 jobs a day, two people are enough.
Its maintenance is handled by the server team. We have it on-premises, and they take care of the patches and upgrades. If it was on the cloud, the upgrades would be done automatically.
Its pricing is a little bit high. They could provide an enterprise-level license for an unlimited number of jobs. Currently, it is based on the number of jobs, and if you exceed the number of jobs, there are charges. For example, if your license is for 3,000 jobs per day, but you run 3,050 jobs, you will have to pay for the extra 50 jobs. They charge $120 per job. So, it is too costly.
To someone who is looking for a process automation solution but is concerned that Control-M isn’t modern enough to work with multiple cloud-based data sources and tools, I would say that Control-M is the best option even when working with cloud-based data sources.
I would rate it a nine out of ten. Control-M is the best solution to replace any enterprise solution if its price suits you.