Control-M Reviews

The business services that Control-M supports for our organization include everything from finances, marketing, data analysis, big data, data lakes—pretty much everything.

We have it on-prem and we also use it in the cloud. We still have most of our components in the data center right now.

When it comes to data analytics, Control-M helps make sure that as we're ingesting data and running it, that the workflows are kicking off in the correct order, and that we're actually getting the data. It's also making sure we return data to the appropriate business units or partners. It definitely streamlines our data analytics. It has sped things up because we don't have to wait on humans anymore to kick things off.

Our line-of-business personnel use Control-M's web interfaces and it gives them a view, a red-light/green-light dashboard. They can see if things are behind or ahead. It helps them keep track of the stuff that's important to them without having to call other people or put in tickets.

In addition, the use of Control-M as part of our DevOps automation toolchains and leveraging of its “as-code” interfaces for developers has considerably sped up our ability to roll out new applications and application updates. It's also allowed our developers, even when they have one-off projects, to easily use the automation API and Jobs-as-Code to kick those off without having to write that kind of function by hand or find another tool. It has been a big part of our DevOps process.

We have also automated critical processes with Control-M. The top-three are 

1. a number of financial processes
2. data ingestion
3. and what we call partner management. 

Those automations mean we get things done consistently and on time. It also lets us know if we're not going to meet our deadlines and enables us to be proactive instead of reactive.

By using Control-M 20’s Role-Based Administration feature, we have been able to decentralize teams to manage their own application workflow orchestration environments. That's important because it frees up resources. People can get things done more quickly without having to stop what they're doing. And it allows them to focus, instead of constantly being pulled in a thousand directions or having to call in different people for help. It helps eliminate tickets or requests to a Control-M administrator, and that frees up our operations personnel to focus on what's more important for the business. Instead of watching for and answering tickets, they're actually able to be proactive and look for potential bottlenecks or to help people enhance their processes.

Another benefit comes from using Control-M 20's Centralized Connection Profiles. Being able to store all connection profiles in a central database helps with efficiencies, with DevOps initiatives, and it helps with ownership.

The extended capabilities of version 20, especially the web interface, help because we don't have to deploy clients or maintain the clients. It lets pretty much anybody who wants to use it just fire up a web browser and use it. That's the biggest capability of version 20, for us.

Overall, Control-M lets us spot problems more quickly. And in terms of Service Level Operations performance, it helps because we now can be proactive instead of reactive. If we know that we're not going to meet an SLA, we can meet ahead of time instead of having to wait and see.

Among the most valuable features are

• the measuring and monitoring of the SLAs, the service level agreements—they code in recovery actions for when things go wrong
• the single pane of glass enables us to see everything, all the processes, in one place
• the ability to integrate with all sorts of different platforms and services.

It provides a unified view where you can orchestrate and monitor all your application workloads and data pipelines. That's very important because with cloud, software as a service, edge computing, traditional data center, and legacy apps, there are all these environments. If you don't have that single pane of glass or that one place to look at, you're going to invest a lot of time and resources into tracking things down when they go wrong. You really need that single pane of glass to show you what's going on across all your disparate systems, in one location.

We also have Control-M for internal and external file transfers. It's really just a part of our normal, everyday procedures. It makes sure that they happen. It makes sure that we got the files. It makes sure that data has flowed back to the appropriate departments.

They really need to work on improving the web interface, as there are still a lot of bugs. 

Also, the new Helix Control-M version doesn't seem quite ready for prime time for many of us. 

In general, they need to do a lot of work on shoring up their testing and quality assurance. A lot of bugs seem to make it into the product.

I've been using Control-M for about 21 years.

It's a highly stable product. It has to be—it runs your business. It's very mature in that arena.

It's highly scalable, so as your enterprise grows it's very easy to continue adding in agents or to expand out your management platform, with little or no downtime.

We use Control-M for financial applications across the spectrum, including marketing, data analytics, data analysis, and partner management. We continue to grow and as new things come online we're adding them in.

They do a really good job in terms of how they expand the product and keep up with the times. It's very cloud-centric, but at the same time, it can also handle legacy-type stuff. Overall, they've done a very good job on that.

What we had previously were all home-grown solutions. We switched to Control-M to get a grip on our environment, to have the single pane of glass to enable us to monitor and manage everything from one location. And the big thing that Control-M allows us to do now that we could not do previously is to orchestrate workflows across all types of disparate systems.

The initial setup was straightforward. It was easy to get going, easy to install, easy to create workflows consistently. There wasn't a huge learning curve. We learned as we went, but it was pretty easy to learn the product.

Our deployment took about a month.

The integrated guides and how-to videos in the solution’s web interface, for helping get to full productivity with the solution, are very helpful. People watch them. They need to be a little more in-depth and they need more of them, but what they have is a good start.

We have about 120 people in our company who are actively using Control-M. They range from developers to operations personnel, financial analysts, marketing analysts, and data scientists. We have a team of three for day-to-day administration of Control-M but they do more than just Control-M.

We worked with a partner to deploy Control-M. Our experience with them was very good.

We have definitely seen return on our investment in Control-M, many times over.

It's an expensive product, there's no doubt about it. It's one of those solutions where you're paying upfront to reap the benefits down the road. You're going to spend a lot of money upfront, but the benefits you're going to get out of it are going to quickly pay for it. That's something people don't understand sometimes.

We looked at a few others including IBM's Tivoli and Computer Associates.

The biggest difference is that Control-M is a more mature and growing product. The other ones were very stale. They just didn't seem to be keeping up with the times. Also, Control-M requires a lot less administration than the other products did, and Control-M was a lot easier to learn than the others. The others had a very high learning curve.

Look at Control-M from a high level, not only down to the details. See how it can benefit your company. Most companies have data centers, they use cloud, they use software as a service—they use a mixture. But even if you're 100 percent cloud, Control-M can still benefit you because it is going to give you that vision that you've never had before of what is going on in the company. And it's going to present it to you in a way that business owners and business management can understand. It's also going to allow you to do some amazing things with automation around the automation API and Jobs-as-Code. So instead of having all these siloed systems, it is really going to help you get many things under that one roof.

My biggest advice to anybody looking into this product, or any product like this is, is to do your due diligence and get your training. It's very important to have some sort of education on this going into it. That training could be formal training or it could be help from a Control-M partner for your implementation. You can get the easy stuff out of the product on day one, but to get to the things that are really going to save money and make you say, "Wow," that takes some knowledge.

The biggest thing I have learned from using Control-M is that you never know what you can automate until you try.

Control-M is used to schedule jobs and run them regularly. It helps to automate processes and reduce manual effort, minimizing the risk of errors and enhancing efficiency. Our clients use Control-M for various use cases, especially when there is a need for regular, automated job executions.

Control-M significantly reduces manual errors and enhances automation. It provides better scalability and more efficient data processing, making it a highly reliable solution for daily job operations.

Control-M can cross all platforms and offers integration for container and cloud solutions. This versatility is very helpful for my customers. The job scheduling capabilities are extremely convenient and easy to use, making Control-M a superior solution compared to others in the market.

I have no immediate ideas for improvements. I do not have any specific suggestions for additional features that should be included in the next release.

I have been using Control-M for about a year.

We do not encounter significant stability issues with Control-M. It runs jobs daily with stable performance.

Control-M is highly scalable. It offers complete functionality, making it an excellent choice for handling extensive operations.

Customer support is very responsive and efficient. If you open a case, it can usually be handled within one to two hours, especially for urgent issues. Their support is available in real-time and resolves issues promptly.

Positive

The initial setup of Control-M is easy and not difficult.

I always implement Control-M on-premises.

The pricing for Control-M is very expensive. It would be beneficial if the price could be reduced.

If your organization aims to reduce manual errors and enhance automation, Control-M is a suitable choice. It minimizes the risk of operational errors and missing processes, offering better scalability and automation.

I'd rate the solution nine out of ten.

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.

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 stability is good.

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.

Positive

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.

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. 

We primarily use the solution for automation, orchestrating and automating the workloads, and being able to schedule tasks. Prior to Control-M, we were manually running jobs or there was either a scheduled task on Windows, getting Task Scheduler, or we'd have a script laid out that someone would have to run through manually on a daily basis. 

We learned about Control-M and felt that it could take over that process and have it automated, while also providing some monitoring and notifications so that if something did fail, we could easily be notified and keep track of it.

It provides a holistic view of jobs that are scheduled to run. We haven't done full production on it yet. Hopefully, we'll be in production by July or August this year. That said, so far from what we can see, it's going to free up some time for certain staff that has been running these tasks manually overnight. Now, if someone gets notified of an issue, then they can address the issue. In the long run, it'll free up some time and resources to focus on other tasks. 

I like the interface, including how I can see everything and how I can put the jobs together. Depending on the experience, I can either use the GUI or I can use the command line to create jobs based on JSON scripts. It provides that flexibility for someone who has no experience of using Control-M as well as with someone who's a full-blown developer that can get very complex with creating these jobs. Generally, it provides a good interface for everyone with different levels of experience.

Control-M doesn't really process data as far as I can tell. It orchestrates other scripts. From what I understand, Control-M doesn't really ingest or analyze any data. It's a tool to help with the processing of data on different platforms. I can tell it to run a script on one server, to send the data over to another SQL server, or a different platform, Power BI for example, and run a script on Power BI so that it can ingest the data when it gets there and do what it needs to do. Once that's finished, I can send it to another platform to put a dashboard together based on when that data is available.

Once one understands the process of how it functions, it's pretty simple and straightforward to create, integrate, and automate the pipelines. There is a learning curve to understand how it all works, all the components, and all the requirements for parameters and different options. However, it's pretty simple once someone has a basic understanding of how it all works.

The Control-M interface is good for creating, monitoring, and ensuring the delivery of files as part of our data pipeline. There's a wealth of information in both the full client, as well as the web interface that they have. Both are very easy to use and provide all the necessary material to understand how to do various tasks. The help feature is very useful and informative and everything is very easy to understand.

It’s great that Control-M orchestrates all our workflows, including file transfers, applications, data sources, data pipelines, and infrastructure with plugins. There are a lot of plugins and we haven't used all of them yet. Primarily, we've only used the file transfer plugin, the Azure file service, and Azure functions. Primarily, the developers have used that to put the various tasks and workloads in place. While we haven't fully utilized everything in Control-M yet, we're learning how to use the various functionalities and transitioning from our legacy scripts and data sources. 

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.

I've been using the solution for almost a year. 

It seems stable. I haven't rolled the solution out to a very large environment yet. The solution we're working on right now seems to be working fine. All the issues we've seen have to do with us figuring out connectivity between Control-M and the cloud services, however, I haven't had any experiences with issues around stability with Control-M.

Right now, it's a small deployment and we have it in four environments. We have it in our dev, QA, UAT, and production environments. Right now, there are two application teams that are using Control-M, however, we have another two or three teams that are looking to get onboarded.

It's pretty scalable. I haven't done a deep dive look into it the scalability, and we haven't identified a need yet to scale out. It seems pretty scalable, yet I'm not sure as I can't speak from personal experience. I don't have experience with it yet.

It was a challenge to get the direction on how Control-M should be implemented. As we learned about new requirements from the customer, implementing those with help from the engineers at BMC was hard. The third-party contractors were one issue, however, when I escalated it to our customer representative, he was able to get me in touch with a dedicated BMC engineer and she was able to give me the information I needed and provided the context and direction on the best approaches. I wasn't able to use the third-party engineer that was assigned to us, however, the internal resource was a great partnership to help move this along.

Neutral

We were using Microsoft and internal tools. We used the basic Windows tools that were built in.

We went with this product to centralize the deployment and to centralize the management of all of the workloads.

Some of the installation components were really complex. I'm more on the infrastructure-based side of Control-M, I deploy it and then get it ready for functional use so that the application developers, script developers, and workload developers could easily access it. It took me three weeks to figure out the requirements for getting the SSL certificates as the documentation wasn't really clear on what those requirements were. Once we figured it out, it was simple, however, the support staff couldn't give me the right information to understand what was required.

It seemed like there was a gap in expectations on what was required for certificates. In terms of the installation overall, it wasn't clear what each variable or what each configuration point was referring to until we were well versed with how everything functioned. Then we were able to say, "Oh, this is what that field meant and this is what was required here." However, during the installation process, there was very limited information on what was being asked at each configuration point.

In terms of strategy, there was a challenge with the customer. I was the third or fourth resource that was brought onto the project. The first three people that handled it, internally and externally, had trouble figuring out what the expectations were. I was handed the baton at the last moment. I had to tie up loose ends and try to get this up and running for the CIO before he started to send up red flags to BMC.

We had an integrator, however, setting up the timing with the integrator was a challenge. What I got from my company and the general expectations weren't clear. When I did get clarification, I wasn't able to get ahold of the contractor since he required a week or two weeks lead time. We then ran behind based on the lack of information I got. Setting up time and requirements was a challenge.

I'm also a contractor working for a customer. Being a third party, trying to work with another third party with minimal information from the client, was just a challenge all around.

There was another team handling the pricing. I'm not sure of the exact costs. 

Our customer chose this solution. 

We do not use the Control-M Python client and cloud data service integrations with AWS and GCP and we do not use Control-M to deliver analytics for complex data pipelines yet.

We haven't gone into production yet, so we haven't rolled this out to all our customers. We're still testing the features and we'll be starting the UAT in two to three weeks.

Right now, we're still in the early stages of rolling everything out. We've gone through the testing in our development environment and in QA to make sure things are good. Now, we're testing performance in UAT internally, and then we'll have customer validation within a few weeks before we go into production.

The solution will play a very critical role in day-to-day operations. However, it'll be at least two months before it becomes critical. Right now, it's still being implemented and evaluated.

It is pretty flexible on various cloud solutions, working with different cloud technologies and platforms. I would say potential users should take a look at it. It does provide a lot of flexibility, especially with the application and integration component that they have. The developers seem to really be able to get what they need out of the AI or the application into an integrated product or feature set.

Before installing Control-M, have a sit down with the Control-M solutions engineer and make sure you share with them all of the details of what you'd like to accomplish before deploying the solution. My client just said, "We want this" and they didn't give us the details about what they were looking for. We ended up having to redesign a few features, as those items were not clarified as part of the installation. When I was brought on board, the customer didn't mention they wanted HA, so that came later. At that point, we had to reinstall and add more servers.

The person who signed the contract was focused on MFTE, which is the enterprise file transfer tool or managed file transfer tool. However, later, the architecture team decided not to use that and go with another tool. Due to that decision, the client could have gone with a SaaS solution instead of the on-premises solution to Control-M and saved a lot of time, money, and hassle on deploying the on-premises infrastructure. So my advice to others is to make sure that the needs and the functional usage of the tool are identified clearly before purchasing or implementing the tool.

I'd rate this tool ten out of ten. It does what it says it does. 

The major use cases we have are batch processing and MFT. We are heavy users of the MFT plugin.

One of the benefits of Control-M is that it's helping to give business users visibility into and control over their jobs, and freeing up IT personnel to focus on other operations. Here, I'm mainly thinking of MFT. Our MFT end-users did not have access to our prior MFT tools at all, so they couldn't see the jobs. They would just request a job be built and then we would publish job reports so that they could see what was out there. Now, in Control-M, we're able to give them job-control access. We still lock down the building of file transfer jobs, but they now have the ability to see a job and see how it's built. They can run a job and hold a job if they need to.

But even for some of the batch jobs, we've written some orderable services that are allowing them to run jobs on-demand, jobs that they used to have to log in to a server and go through a menu to do. Our business users definitely have much higher capabilities in our product now.

And while we are primarily on virtual servers, we are in the process of standing up some agents in the cloud. We have our first agent in AWS up and we're getting ready to do some testing on it. That's pretty critical. There's a really big push within our organization to move into cloud. A lot of our next-gen apps that are going to be replacing the current ones are being built in the cloud. We have that first agent out there, but I assume there are going to be many more to follow as these new applications are stood up in the public cloud. Today we're on-prem, but I definitely envision us moving the entire Control-M stack to the cloud. Eventually, it will be in the cloud and we'll just have a couple of agents on-prem, versus being on-prem and having just a couple of agents in the cloud.

Control-M has also helped to make it easier to create, integrate, and automate data pipelines across on-premises and cloud technologies. It's due to the ability to orchestrate between workflows that are running in the cloud and workflows that are running on-prem. It gives us the ability to have end-to-end workflows, no matter where they're running.

The automation is one of the most valuable features.

New plugins could be tested better. We've had a lot of problems with the MFT plugin. We've been working through a lot of issues with BMC on it.

The functionality that has existed for long periods is very stable. But the problems with the MFT plugin specifically, and problems we've had with MFT in general, have unfortunately caused the entire stack to be affected enough that our end-users couldn't even log in to the application. 

I wish we would have known better about how MFT impacts the application as a whole, and I wish they would have done more load testing around that. That seems to be where most of our issues have been. The issues have been so bad sometimes that the entire app goes down, not just MFT.

I've been using Control-M for about two and a half years.

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. We're working with BMC to try and figure out how we can externally monitor this application. 

We are using Dynatrace because of the problems we've had with Control-M. If we stood up Control-M and never had any problems, we probably wouldn't be too worried about being able to observe the processes and the queues and the communication between processes. But because we've had so many problems, it has forced us to dig in. We can't wait for a problem to happen and wait for a week for support to tell us how to fix it. We can't do that in a production environment. We have to know before a problem happens so that we can be proactive and not reactive. That's been a big struggle that we're continuing to work with BMC on.

It's pretty scalable. You can stand up a ton of agents and you can stand up a ton of servers, if you need scheduling servers. Scheduling and agents are definitely very scalable.

There isn't the ability to really scale the EM (Enterprise Manager) a ton, although the GUI can be scaled somewhat. I don't know how much of a need there is to be able to scale the EM. We don't seem to have issues on the EM side, for the most part.

We're definitely having issues with the gateway between the EM and the scheduling server, but BMC is telling us that it's because we're running too many file transfers on the scheduling server. They say that if we stand up more scheduling servers, that should resolve that issue. We'll see if it does, if we still have any issues after we spread the load of MFT, not only over more agents, but also over more schedulers. If we still have issues after that, I think that would mean you're pretty limited in how you can scale your EM. That is the one thing about which I'm not sure how well it scales.

Technical support is very back-and-forth. That's one of my gripes about the support. We open a case, they ask us for logs, we upload logs, and they come back and ask us for something else. 

At times, there isn't a lot of what I would call working together with them. We do now, but that's because we had a ton of support cases piling up and we started escalating with their internal leadership. Now, there are weekly meetings between our leadership and their leadership and our account managers, as well as weekly meetings with the support team and the dev team, to talk through our cases and any updates on them.

It took a lot of pushing from our end to get them to work with us. Otherwise, they just asked for logs and then we were waiting for a couple of days for them to look through all the logs and get back to us. We can't be doing that, especially if the issue is a production problem. We can't just upload logs every time we open a case and wait around for two weeks to get an answer.

Another gripe is that they're very siloed in what they know. Something that I've been asking for for a long time, from BMC, is somebody who can take a look at our environment as a whole, and not just in pieces. Every time we open a case with support, they want to assign it to a specific area. If it's a problem with the agent, then an agent person will look at it. If it's a problem with the EM, then an EM person will look at it. But nobody is looking at the environment as a whole. That's an issue because a lot of our problems, as I've mentioned, with MFT, are impacting the entire environment. It's not just one component. It's the entire environment and how those components relate and how they communicate that have been impacted. Nobody has really looked at the environment as a whole, in support. I think it would benefit BMC to have more experts on the entire application and not have everybody so siloed.

Neutral

The initial setup was a little complex, due to some of the requirements. It requires that you have C shell as it doesn't work with the regular BASH shell. There are some old mainframe requirements that have carried through the product, even though we don't run it on mainframes. For example, the user that you use to run it has to be under seven characters long. We had to modify the account we use because the name was too long.

We're still really trying to get our environment squared away. We started two and a half years ago, but we've got a laundry list of applications that we're migrating out of and we've only completed one of those migrations. We're having to modify our architecture now because of the load that we are running. I'm working with professional services at BMC to review our existing architecture so that they can give us a BMC-supported design recommendation.

One of the competitors we are migrating from is Broadcom/CA. Broadcom bought a couple of products. They own both AutoSys and Automic, and we are migrating out of both of those solutions. AutoSys has been pretty straightforward to migrate into Control-M because the job configuration is pretty simple. However, the Automic workflows are very complex. They utilize certain features that only Automic offers, things that we can't replicate in Control-M. That is causing a lot of issues and has caused us to put that project on hold for the time being, until we can work through some of the problems that are being presented. We've been migrating Broadcom for at least a year now.

Some applications are pretty straightforward. MOVEit is an example of one that's a pretty straightforward conversion. However, another tool we have, Diplomat MFT, has a backup file structure that is not what the conversion tool was expecting. We ended up writing a custom Python script to do that conversion for us. The ease of migration really depends on what application you're migrating out of. It could be very complex or very easy.

The migration process is a very high concern. We selected Control-M due to the ability to migrate everything into it and have everything in one tool. If we can't get our migrations completed, then Control-M will just be another tool on top of all the other ones that we have to support.

We used VPMA for the deployment. Our experience with them went pretty well. They're definitely very knowledgeable about the product

I don't know that they, or really, as I said earlier, even BMC had all the knowledge around how MFT could impact the application as a whole, back when we originally bought this. MFT was very new back then. VPMA did their best and guided us as much as they could, but I just don't think the plugin for MFT, specifically, was very mature yet. There were probably a lot of unknowns there.

We had a pre-sales team from BMC that helped us in the very beginning, before we worked with VPMA. They were nice, but I wouldn't say they were very knowledgeable. They had a very surface-level knowledge of the application. They didn't know anything that was deep. They would have to find out for us and get back to us.

It's not my realm, but I would assume Control-M has not helped us realize any savings on renewal costs after switching from Broadcom. The cost of an agent is significantly higher for Control-M than it is for Automic or AutoSys.

We are paying way more for Control-M than we've paid for any of our other scheduling tools. We have an inside joke that Control-M is sold as the "Bentley" of schedulers, but we feel that we got a "Pontiac" because it's falling apart half of the time.

BMC has two licensing models. One is where you pay by job execution and the other is where you pay by endpoints. I'm sure the specifics vary depending on the customer, but we opted to go with endpoint licensing. I'm not sure if that was the best decision, knowing what we know now.

With endpoint licensing, we pay per server. That means it behooves us to run as many jobs as we can on each of those servers. But we're very much finding that even if we make those servers very large and give them a ton of resources, they're still not able to perform because Control-M doesn't scale very well vertically. If you make the agent bigger, if you double the CPU and RAM, that doesn't necessarily mean you can run twice as many jobs. It's going to choke in other areas. 

We will see if we end up switching our licensing model. I think the endpoint licensing model we chose is quite a bit more expensive than an equivalent model where we would pay per execution. We would definitely have to change a lot about our environment if we were to change our licensing model from endpoint to execution, because today we give all of our end-users the ability to run jobs on-demand. If we were to change our licensing model to be based on executions, we would probably want to restrict that a little. 

The way you license is a very large consideration when moving to Control-M.

We really haven't taken advantage of some of the features that Control-M offers yet. The main thing I'm thinking of is SLA management. We haven't implemented that yet on a lot of our business-critical workflows because we just lifted and shifted everything into Control-M from the old app. As of today, things are pretty much equal until we are able to implement some of those additional features.

There are capabilities that Control-M offers that are good and I can see it being a very good product. BMC, as a company, has some maturing it needs to do in a lot of its processes. They have a very good sales team, but a lot of things after that can use some work.

We definitely haven't bailed on it, but I've heard a little bit, back and forth, from people at BMC that they might not be too upset if they lost us as a customer because we've been having so many problems. We've been on them about helping us get this environment corrected and functioning as we expect it to. But in a year from now, it's possible we could be in a really good place. I'm excited to see where it all goes.

We're not using it currently. We just did a PoC on it. We developed two or three use cases, and based on that, I had implemented the PoC.

For our use case, we wanted to schedule a job that will get data from the auditor and put it into Mongo. For that, we needed to do some calculations, and there was a whole workflow behind it.

The scheduling and management were really good. Monitoring was also better. It had a good visual presentation. It showed me charts and all such things. It was really good on that side.

It provided a unified view to easily define, orchestrate, and monitor all of our application workflows and data pipelines. We didn't have to go inside the box to find out what was happening behind the scenes. All that was easily showing up on the UI, which was a good part of it.

We used it for data transfer within our application workflows. It was very fast and secured.

Its cost should be improved. It is more expensive than other solutions.

Its architecture is old. AutoSys gives more flexibility.

I just started learning it. I saw the demo and started playing around with it.

It has old architecture, so it is sustainable.

Its scalability is fast.

I didn't use their technical support. 

Currently, we have a manual process. We don't have an automated process.

Its setup was straightforward. It was easy for us to host it up because it is a service, and we just hosted it up in the cloud, and it was there.

Its deployment was very fast. It took less than a day. I had to run some commands. I went through the documentation on BMC's website, and it was good.

Its cost is a little bit higher than other solutions such as AutoSys or DAC. For the demo, there were some plans, such as a start plan, scale plan, etc. Pricing was based on the plan.

We are also evaluating AutoSys and DAC. We have used Control-M only for PoC. We haven't decided whether we are going ahead with it or not. Its pricing is high, and its architecture is old. For our use cases, the architecture was a little bit older as compared to others. AutoSys gives more flexibility. 

Control-M's streamlining of our data and analytics projects didn't affect the rate at which we received actionable insights. The rate was okay, and I didn't see a drastic data speed change, but it was reliable.

I used its centralized connection profiles feature that enables you to store all connection profiles in a central database, but it was not really important for me. We already had a custom profile or custom configuration in our services for handling the connection. We were already doing that on our end. If we were not doing that on our end, the use of centralized connection profiles would be helpful for lowering the total cost of ownership.

I would rate Control-M a six out of 10. We only used it for PoC. We have not decided anything yet.