Control-M Reviews

We mostly use Control-M for the data flow and reporting. We also have the monitoring in place to make sure that the business meets the requirements, and there is on-time delivery of reporting and so on.

It helps to meet the SLA related to the information and notification to the required stores. In case there are any failures, we promptly rectify them. It has helped a lot with the business continuity processes without any delays.

We have improved a lot in terms of rectifying on time and based on the SLAs. It is, overall, pretty good. With the network overview, we can see the job flows. We also tell customers how useful the application is so that they avoid using any other job scheduling tool and have their job flows integrated with the Control-M application. We do a monthly talk with different technical teams to make them understand the features and benefits of the Control-M application so that they integrate or migrate to the standalone Control-M application and not use other job scheduling tools.

We have a complete view of the jobs, and the customers also know about the job flow. With the help of the reporting team, we provide them with reports of the job flow. There are detailed diagrams, which are very helpful to know about the job flow. It has been pretty helpful and good.

It allows us to easily ingest and process data from different platforms. I would rate it a nine out of ten in terms of ease of use.

It is good for creating, monitoring, and ensuring the delivery of files as part of our data pipeline. I would rate it a nine out of ten from this aspect.

It is pretty straightforward to create actionable data. It is simple and precise to know what information needs to be in and how it has to run based on the job.

The File Watcher utility, cyclic jobs, and email alert notification are valuable.

Some of the features are not available. We were about to deploy the REST API, but we had some challenges. We had to use a third-party application. So, it should be improved in terms of integrating REST API jobs. That was something that was lacking. The customer was not that happy in terms of getting the desired output. So, we had to use a third-party application called Hangfire. We would like to have more videos on REST API integration, and we would like to have easy integration with the Control-M application through the REST API.

We've been using it since 2018 or 2019.

Currently, there is not a heavy load of Control-M jobs. There are around 500 jobs, and we have around 30 controlling agents. We are now moving from the Window jobs and getting into using it for other jobs. We are also planning to upgrade to a newer version. So, there would be much more dependency on the Control-M application. 

The client installation does not have that much usage. People are moving to the web-based interface. On average, 10 people use the client, and 20 to 25 people use the web application.

Their support is pretty good. I would rate them a nine out of ten. Sometimes, they take time. I had a couple of issues, which prolonged for more than a month. It was something that I wasn't expecting, but they were not show-stoppers. They should expedite their support. The time delay from the support team and the development team should be worked on.

Positive

I was not involved with its deployment. In terms of maintenance, it is not maintenance heavy. We just happen to follow the best practice of doing a reboot every month and applying the patches.

We have a license till 2024. We are good and satisfied with it.

I would advise others to go for it. It has all the features, and it can meet the requirements of any business. Control-M has matured over the years. It is more feature-rich. It has a better graphical user interface. It is catching up with the latest technology and is going to be cloud-based. YouTube videos and webcasts are helpful for new customers in adopting the application.

We have not used Control-M Python Client and cloud data service integrations with AWS and GCP. We have not yet reached that level in this organization. It is just for basic Windows. In a previous company, we used Python and AWS but not in this organization.

We generally move to a new fix pack or release after almost a year. We just wait until there are some bugs rectified in an existing new fix pack. We are looking forward to upgrading to version 9.0.20 to be able to use other features. I am hoping that the API has been enhanced in that version. Upgrading to this version will also help our users. They can use their web application and deploy the jobs rather than having a dependency on the scheduling team.

I would rate this solution an eight out of ten. They just need to focus on and provide more videos on the API side.

Our use case was mainly about consolidating our data pipeline from different sources and doing some data transformations and changes. We needed to get data from different sources into a state where we could act on it into one consolidated data set.

It gave us the ability to consolidate a diverse set of solutions into one comprehensive solution that streamlined our development processes. It was straightforward to adopt and we could build on existing skills without having to have 10 solutions for 10 problems.

And when it came to creating actionable data, it gave us the ability to move faster and at scale. By adopting a solution like Control-M, we were able to scale and deliver faster data transformations and maneuvers, turning data into insights in a more efficient and scalable way.

The ability to deliver faster and at scale was important. Business and management always wanted us to deliver faster and bigger and we were able to do both with the solution that we implemented using Control-M. We were able to respond faster to changes and business needs, at scale. 

Having a feature-rich solution enabled us to aggregate all of our processes into it, and that made the overall execution, from a project and portfolio perspective, a lot more efficient.

We were also able to respond to audit requests, because it's centralized, in a much more efficient way.

There isn't a single feature that is most valuable, but if I had to choose one, it would be the rich ability it gave us for making customized scripts. That was probably the most unique feature set for our situation. 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 Python Client and cloud data service integrations have a rich set of features with flexibility. It did not require additional, crazy skills or experience to deal with it. It was a nice transition into enabling a data scientist to leverage existing skills to build those pipelines.

Creating, integrating, and automating data pipelines with Control-M was straightforward. It did require some knowledge and training, but compared to other solutions, it was a lot simpler. Working with data workflows, with the data-coding language integrated into Control-M, was straightforward. The level of difficulty was somewhere between "medium" and "easy." It was not that hard to leverage existing skills and knowledge within this specific feature.

The user interface for creating, monitoring, and ensuring delivery of files as part of the data pipeline was very actionable. It was almost self-explanatory. Somebody with basic user-interface experience could navigate the calls to action and the configuration that is required. It was well-designed.

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.

I used it for a couple of years.

It's fairly stable. I don't recall any specific issues. 

It's fairly scalable. For our needs, it scaled very nicely.

We have a shared model where we have a centralized, shared service organization when it comes to data. Different people will use it, but it's centralized.

We used other solutions from BMC as well, and their customer support was always great. I give them a 10 out of 10.

Training or a Knowledge Base were available or you could ask a question by submitting a ticket.

Positive

We had DataStage from IBM and SSIS.

The switch was really about streamlining the process. We had other tools that only did partial processes or were not doing it with the speed and efficiency that we were looking for. We were looking for a solution that could streamline things and solve 90 percent of our data challenges.

The analysis that I saw validated that the ROI was within a couple of years.

The pricing was competitive, from what I understand.

We looked at continuing to use the same solutions we had been using, and there were a couple of other cloud-based solutions that we evaluated. One of them was Matillion. The ease of use was one component of our decision, as was the flexibility of scripting with Python. Those were the key differentiators.

For the on-prem solution, we had to do the patching and whatever was required by the vendor, but the cloud implementation was a model that was usable. The upgrades, changes, and patching are done directly by the vendor.

Control-M was a critical piece of the puzzle, to help us with all the data transformation and projects that we had to do. It was part of either one specific project or even a larger project that required that middle data transformation so that we could get to analytics or any other consumption of that data.

We use Control-M to monitor jobs on the endpoints. We monitor throughout the day to see which jobs fail. It helps resolve issues with the programmers. They know if they want to rerun, force complete, or hold a job. We work hand in hand with the programmers who have the final say on what they want to do with a particular job that requires action. Control-M is deployed across multiple locations, but I can't estimate the number of users.

Control-M is a critical part of our operations. We rely on it to do our jobs daily. It helps us automate things that come from the JCL side where you would normally have to do everything manually. It's a little quicker and more automated on the BMC side, which makes things smoother for the end-users. 

The solution allows you to relay your issues to management, who in turn, can communicate them to our customers and programmers. It maintains a dialogue between all parties. It's had an overall positive impact on our process execution. 

We can set up automated email notifications to the programmers or the whole team for a particular job. It helps save time because we're not consistently looking at the job to see if it has ended or failed.

The Control-M interface makes delivering files in our data pipeline a little easier. The integration is so much more seamless, so the transition is a smoother experience.

I've been using Control-M for four years. 

The stability is fairly good. We haven't had any serious issues. 

The response time could be faster when you need a person to answer your questions. There are situations where availability becomes crucial. 

I wasn't involved in the deployment. Maintenance is handled by our unit team. They do updates and patching almost weekly.

I rate Control-M an eight out of ten. It comes down to preference and what you need. There are multiple platforms out there, but I've only used this software.  I recommend doing some research and seeking out a lot of opinions. Talk to other folks who worked with other solutions to get a grip and a better understanding. 

Our primary use case for Control-M is to order the jobs we have, like database entries and processes that need to be run in Unix or any other environment. With Control-M, we can run a set of flows at a specific time, like maybe on the fourth of every month or every second Sunday of the month.

The Control-M feature I find the most valuable is the ability to configure a lot compared to a contract. 

An issue we have run into in our lower environments is that Control-M can log you out frequently. This happens when you have a lot of applications running. Maybe it's just a configuration issue, but this is a pain point that would be good to look into. 

I have been using Control-M for a couple of years now. 

Control-M is a stable and reliable solution. 

I have not seen any issues with Control-M in our production environment. However, in the lower environment, we can see frequent log-outs. That could be an issue with how much they have allocated. 

In our organization, the development team uses it, as does the bank team. They monitor it. If a job fails, for example, Control-M sends out a notification and the team can take a look at what happened in the logs. They can do it on the fly instead of dealing with the issue later on. 

As soon as you have an issue, a ticket is created and the tech support is quite responsive. 

I did not set up Control-M in my organization, but the setup is straightforward. You just log in with your credentials and everything is already setup for you. You can access things in line with whatever authorization you have. 

I would recommend this solution because of the ease of use. To work with it, you do need to understand it and know how to configure it. But, once you do, you can take advantage of many features that are helpful. 

We mainly use Control-M for integration in cloud environments like GCP and AWS. I'm an electrical engineer who mainly uses Control-M to access the files, documents, and data I need.

Control-M ensures that our files are secure and the data pipeline is accessible. It helps. It also allows us to create and monitor data while keeping it secure.

Control-M is critical to our business because we couldn't remotely access our files on the cloud without it. It makes our work easy when there's an issue in our admission sector. I would say it has been a significant help.

The web interface is handy. It's easy to use, and Control-M provides you with the necessary materials to understand the features and perform various tasks.

The interface is user-friendly. I had no prior experience, but I found it easy to work with. I had to review lots of documentation, but it's not difficult to navigate the different applications on it.

Creating and automating data pipelines is a bit difficult for a new user because some of the documentation isn't available. The documentation could be improved, and I'd also like to see automatic upgrades.

I was recently hired at this company, so I've been using Control-M for over a month now.

Control-M is stable. That's one reason the company chose them.

Control-M is scalable.

I rate Control-M eight out of ten. I have contacted them to help me understand how different things work in Control-M.

Positive

I rate Control-M eight out of ten. It's a solid application, and the graphical user interface is intuitive. Control-M can be used for different applications with various parameters.