Control-M Reviews

I work for the second largest chain of supermarkets in the UK. We are running about 90% of our jobs through Control-M. This applies for jobs and scripts on-premises and in the cloud.

When we used Control-M version 7, we were just doing scheduling. When we moved to Control-M version 9 six months ago, we started using the cloud plugins, like AWS.

Control-M is business-critical for our operations. It does all our monitoring and tracking.

Our command center people watch the Control-M job status and alerts. Since the pandemic started, and we are working from home, we have been providing them with Self Service. We started this two or three months back. Now, they can watch the jobs and alerts through their mobile and iPads instead of logging into their laptops.

We set up a file transfer mechanism because this will be easier for Control-M to track end-to-end.

We use Control-M as part of our DevOps automation toolchains. We have a four-person team for Control-M. We help the DevOps team create new jobs. We assign a dedicated resource to understand their requirements and how they can be integrated with other jobs. Because Control-M works end-to-end, it is critical for our DevOps daily jobs.

We use Control-M to streamline our data and analytics projects. Control-M has helped improve our data transfers. If there are no security concerns, the data can directly link to downstream systems. We use Control-M to watch all the transfers of files to their targets.

All our Control-M alerts go to our internal automation.

It has two-way integration. We now have a ServiceNow integration. 

Control-M reporting isn't that good. It is very limited. We would like the ability to create our own reports as well as the ability to publish dashboards in the cloud, which would help us. Improved reporting will help us determine statuses and get the answers that we need. However, I personally think BMC is not focusing on the reporting. I have even visited the BMC office in India, and asked, "Why haven't you improved the reporting?"

There are some latency issues with jobs between on-premises and the cloud. BMC is helping a lot to check the imports and exports from version 7 to version 9, including the EM server and the mainframe.

Control-M could improve agentless connectivity a little more. We are using it almost 100% with agents, but when we start using agentless, Sainsbury's Bank has different security mechanisms and we cannot install Control-M. For example, the agentless connection fluctuates a lot, which triggers alerts.

I have worked with Control-M for almost 10 years, since 2010.

The stability is very good. 

The scalability of the latest version is a drastic improvement compared to version 7.

We are getting good help from them. When I use Support Central, I can also see tickets that have been created by my colleagues.

We currently have IBM TWS as a job scheduler, but they don't automate their ticketing. Whereas, Control-M has automatic ticketing. 

We are using TWS for mainframe data. We are looking to start moving all our TWS jobs to Control-M now that Control-M is in the cloud. We are looking at moving these jobs around September or October, then we will have 200,000 jobs daily in Control-M.

We are trying to import from Control-M version 7 to Control-M version 9, but have experienced a major problem with its new features (database-related stuff). We are slowly fixing this as we go, with the help of BMC. Right now, we are doing this process step-by-step, but we can't upgrade everything to the latest version. We can only move everything to Control-M version 9.5.

Initially, we were first-timers doing the cloud. We had so many trials and errors. For importing, we created virtual machines in AWS and set up a lot of automation. However, we needed a static IP address for Control-M. So, we had to start from scratch to create new virtual machines with static IP addresses.

We are currently importing step-by-step. We still have two mainframe servers that we need to do and should be done by the end of August.

We have 70,000 jobs running daily. Control-M has reduced the number of jobs that we are running daily. We used to have more than 500,000 jobs running daily. This is very important to us.

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.

You can't compare other tools to Control-M, because Control-M is further ahead of any other tool.

Once a year, as part of our disaster recovery, we restart Control-M and see what happens. Next, we will run those jobs through Control-M. Then, we will show management, "This is what happens if you use Control-M and if you don't use Control-M."

There are some areas of our business where we don't have Control-M. When we start doing those areas through Control-M, it will be an end-to-end solution.

We don't use Control-M for file transfers. We have proposed using Control-M for file transfer with version 9, which is in the cloud.

In the future, we will give control to the DevOps team through BMC AMI Change Manager. They will create the jobs, then send them to our BMC Control-M team for review, testing, and promotion to production. However, adopting this will take some time.

I would rate Control-M as a nine out of 10.

We predominantly use Control-M SAP R3 jobs. That's our primary batch job load with external vendors and internally on our AWS instance. That's our batch load alongside a few custom integrations. They are not public applications. It's all in-house applications. We have integrations and API integrations for the API hubs, which speak to multiple other applications within our next case.

It isn't the only point of failure, but Control-M handles our business-critical, priority-one applications. We have other options. Control-M runs the SAP side for all batches. The time needed to realize the benefits depends on the scale and complexity. 

One use case was in health care and involved shipment orders. With Control-M controlling the workflow, we could effectively monitor it and forecast any delays. This enabled us to deliver critical products in under four hours across hospitals in the network. 

We can apply the same standards and run the same set of jobs across environments. Once they are tested in the non-production environment, we can move them seamlessly to the production environment. 

We have a nightly process of batch reports. Before Control-M, we spent around 12 hours manually scheduling reports in SAP. After streamlining the process, we reduced manual work to nine and a half hours. The business could update all the processes before midnight.

While it doesn't totally free up IT personnel, it provides visibility into self-service tools where business users can see their pipelines or job streams. It would be read-only access for the business side, but to take action on the job, they still need to contact the IT team. 

Control-M doesn't facilitate collaboration between business and IT users, but It provides a better user experience. Both parties can see what they are talking about, so there's no black zone for any of the parties. Before Control-M, the functional team had a particular nomenclature to relate what they had seen on Control-M. With the self-service tool, they can simply relay the job name. The collaboration starts there, and it builds over with a lot of other parameters.

Control-M provides a centralized view of our enterprise workload. As the owner, I can access my dashboard and see the status of jobs across the enterprise. It is strong at integrating with different applications and creating a pipeline of dependencies across applications on different operating systems. 

When it comes to developments where we have to move across regions or environments, it seamlessly integrates and adapts to different regions. Regarding integration with the DevOps pipeline, it allows us to use a JSON file and promote it across environments easily. 

We use Control-M to deploy workflows for DataOps and DevOps initiatives. It allows us to quickly test workflows or configuration changes without much manual effort. We add the JSON file for the conversation parameters and let the system handle the schedule. Integrating other DevOps tools within the journey gives us the management perspective and approval of multiple pipelines.

I'm currently working on the SaaS version, but I've also worked on the on-prem versions before. There is a handful of features that haven't been added to the SaaS version, and the BMC knows that. It's a matter of time before they prioritize the missing pieces and bring them into the SaaS version. 

I started using Control-M back in 2018.

Control-M has the best stability in the market. They claim 99.99 percent availability. It's hardly four hours of downtime throughout the year.

Control-M is infinitely scalable. We only need to add agents. BMC will take care of it if you need anything on the SaaS side, but we can handle the rest using our agent architecture.

I rate BMC support 10 out of 10. They are stringent about their SLA timelines. They respond on time, and if it's a priority one, they will call immediately. 

Positive

We previously used the SAP Scheduler and adopted Dollar Universe. All our local manual efforts ran in  Windows Scheduler.

It was a greenfield approach, and I was there from day one as a consultant. Deploying Control-M can be easy or difficult, depending on what the business needs. It takes a while to understand the infrastructure setup our business needs and the number of jobs we need to run through this application. 

It took a while to understand the infrastructure setup we require. We had to understand the number of jobs running through this application and how business-critical they are. The documentation BMC provides is top-notch and covers every step we must follow. 

Migrating to Control-M is a bit tricky in terms of preparing the data and having the right tool to convert required parameters into a Control-M-ready job. Control-M has a feature called AMIGO that helps us migrate from the existing source.  Converting a job and loading it into our Control-M format isn't straightforward. We must do some prerecorded checks and setups before. 

There is some maintenance in the form of updating agents and deploying patches on the SAP application. Since it's a SaaS application, BMC handles most of the maintenance on the server side. 

The license model is based on the number of jobs we run on the SaaS application or the number of executions, unlike the on-premise model options. If we have a handful of jobs, it's always good to consider Control-M, but if it's a large number of jobs, Control-M might not be a great option. 

Control-M enables us to consolidate our jobs, and it helps us have a uniform approach and schedule. It helps to have the audit logs available. The scheduler space is nice in terms of control. 

We attempted to leverage ActiveBatch by Redwood and a few other options, but Control-M had all the features we needed. It gives us a 360-degree view of our implementation across silos. The architectural requirements also vary depending on the criticality of the applications. 

Control-M allows us to customize the job templates for any application we need, which covers all our future plans. Its integration speed is excellent because it has templates for every application. 

I rate Control-M 10 out of 10. New users will be fine if they follow the Control-M documentation. There's also a book you can buy on Amazon called "Batch Scheduling" that comprehensively covers batch operations and how BMC has evolved over time. 

We use Control-M for ACS and Azure services as it has inbuilt cloud integration. We have a product that works on government databases where we use data scraping and then integrate it with Azure and OpenAI. This integration allows us to process data and get insights. We also use AWS services to save the processed data in the AS.

Control-M is a bit faster compared to other solutions. The job and coding are easier. Also, my DevOps and Ops teams work collaboratively with it, enhancing its efficiency. The workflow is much easier compared to the ACS services we were using. Automation is more advanced, deployment is fast, and version control has been simplified.

They should have a proper integration method that clearly defines the workflow. Additionally, there should be an automation system for developers to set it up more easily and quickly. My Ops team faces certain problems that need addressing.

I have been using Control-M for four to five months.

The downtime is higher compared to AWS. Indexing and databasing are more challenging, and the endpoint sometimes gets reset automatically. The accuracy rate is about 80% to 85%.

As we hire new interns and DevOps partners to scale our business, Control-M scales well with the enterprise's growth. As the workload on Control-M increases, its scalability is much higher. Its cost is very low.

I never had direct communication with technical support because solutions are available on the web. We didn't have a one-on-one conversation, but the support is adequate through online resources.

Neutral

We migrated from AWS to Control-M. It was more cost-effective and capable compared to AWS services. We were a startup with limited resources.

The setup was manageable with certain experienced DevOps staff, making it easy to deploy on the local server.

There was an built-in DevOps team that found Control-M more cost-effective and capable than AWS services.

New users should have a comprehensive understanding of how BMC and Control-M operate. Good coding skills are essential, as well as utilizing open-source codes. Monitoring should be done by someone knowledgeable about the system. I would rate Control-M a seven out of ten.

We are using it for job scheduling, shift scheduling, etc. It is pretty much orchestrating all the job shifts for the IT team or core team.

We specialize in security, which means 24/7 your system or team needs to be ready for anything or anybody in the world, independent of even time differences. If you are managing your client's services from Europe, or anywhere else in the world, Control-M makes it easier to do scheduling, saving people time.

Since we have different satellite offices in Toronto and Ottawa, we use different role accessibility in different locations. That is why we are using it on-premise. However, in the next six months or so, we are planning to go to a hybrid cloud environment on Control-M since we are adding two or more satellite offices. We think that it will be more manageable if we implement it in a hybrid cloud environment.

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 most important thing is it is easy to manage conversions and stuff. It is easy to convert different systems, like AWS, which saves time.

We are working with vendors, partners, and clients to manage GDPR and data privacy. This solution is good with data privacy because BMC is GDPR compliant. That is very important, especially for overseas clients and businesses.

Overall, Control-M is quite critical for our business. I would rate this as nine out of 10.

• The monitoring
• Workflows
• Production
• Scheduling the shifts
• Timeframes for specific roles and management

Time differences are important because we have some overseas clients. That is why we are using Batch Impact Manager for the Control-M, which is very helpful for us. It detects potential blocks in advance, delays, and errors. That helps us to optimize the scheduling, then the batch workload processing as well. 

It is pretty easy to create, integrate, and automate data pipelines. It is user-friendly, not rocket science. That is what I like about the Control-M, and specifically Batch Impact Manager. You will need some orientation and need to know what you are doing if you are integrating your system, and this solution makes it easier.

We use Control-M Python Client and cloud data service integrations with GCP, which is pretty hassle-free. There aren't any problems or compliance issues. It is pretty easy to retrieve the data, do conversions, etc. They are on-time, and there is not much of a delay. 

The engineers on our team say that it is pretty easy to build, test and promote data workflows with the data coding language integrated into Control-M through the Control-M automation API. The ease of integration is eight out of 10. Python is the main language that our database managers and data engineers are using along with some other languages. 

The Control-M interface is user-friendly and easy to use. Orientation-wise, it is easy for data engineers to adapt.

Ingesting and processing data from different platforms can be a challenge. Control-M does allow integration for this with other systems to make this easier. For example, we integrate Control-M with an in-house system to do this.

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.

I have been using it for almost a year and a half.

The stability is very good. My impressions of the stability are very positive.

I would rate the scalability as nine out of 10.

The technical support is near perfect. I would rate them as nine and a half out of 10.

Positive

We were previously using an in-house solution, but we weren't improving it much, which is why we switched to Control-M.

Control-M creates cost-efficiencies, saves time on scheduling and data efficiency, and provides better data management. We use the managed services as well because we partner with some clients at MSPs and MSSPs. This solution is also good for their environment because it is easy to access, retrieve, and work with actionable data as well as all the procedures and processes. It is good and works. I would rate it as eight out of 10. 

The total cost of ownership is impacted by the Control-M pricing as well as the overall cost of the procedures and daily batch processing. We can easily see that at the end of the year, in terms of big time and money savings.

The pricing and licensing could be better. However, when I compare Control-M pricing with JAMS, Control-M is still better priced than JAMS enterprise.

We also evaluated JAMS Scheduler, which is also a workload automation solution. The pricing for Control-M was better and has good predictive maintenance that is better than JAMS. Control-M is also more integrated with Google for different solutions.

Control-M is better for the cloud. Specifically, the hybrid cloud is the best. On-premise is still okay, but it depends. Its hybrid cloud environment works better and is optimized in a better way to save money and time. Its implementation is easy from the cloud GCP and AWS. Microsoft Azure is not there yet, but otherwise, it is perfect.

I would rate the solution as nine out of 10.

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.

We started to use Control-M in 2019 with the MFT (Managed File Transfer) module. Last year, we also started to use Control-M for SAP jobs.

Our transfer processes with MFT from Control-M, are quicker and safer now because we have implemented a lot of rules. For example, it helps balance jobs. Also, there are workflow capabilities, so that if a job succeeds it can call another job. And in case of failure, it can restart the job and warn us by email or by a Teams message. That kind of warning for the support team means we can address problems before the business complains. These are benefits we did not have before Control-M. Improvements to data transfers via Control-M are on the order of 80 percent.

Issue resolution, with Control-M in place, is about 90 percent faster, because most of the issues are resolved without intervention. It has also helped improve Service Level Operations performance by between 80 and 90 percent.

In terms of automating critical processes with Control-M, it's not only for transfer jobs but we have some applications that need to be restarted every week for performance reasons. Instead of having someone connecting on Sunday to do that, we can do it automatically with Control-M. These are OS jobs and it's very critical for us to restart them.

The kinds of things that Control-M is allowing us to do now that we couldn't do with our homemade solution are in terms of physical operations, the monitoring through the dashboard, and the reporting. With our previous solution we didn't have any reporting, but now we can export reports to PDF and share them with the business. We also have Control-M/Forecast to plan the maintenance of our system and to know which systems and jobs will be impacted during a maintenance period.

The most valuable feature of Control-M is the collaboration. We can all work together on it and have a better view of things with the dashboard, and that's true even for business users. The unified view where you can define, orchestrate, and monitor applications, workflows, and data pipelines is important because we have more than one team working on Control-M. We have a support team, a job-creation team, and a SAP team. We can all work together on it. It avoids anyone from working on his part and not using the latest modifications. In case there is an issue, we know who made the mistake, and we can also roll back the mistake. That is very good.

Our line-of-business personnel use Control-M's web interface. We have tried the mobile application, but we haven't used it enough. The web interface is very good. Previously, a business user would ask us, "What about my file?" Now that we have Control-M, they are up to date on it. The self-service portal is very helpful because it gives them a view of the latest version of the interface and they can consult it without having to ask us every morning about a given operation.

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. I think their roadmap shows that there will not be a new version next year, due to the crisis. I think the next major version will only come out in two years.

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

It's very stable. In the last year, there have only been two issues. One was our fault, due to our configuration. The other was because of the Control-M application. We had to call support to get them to solve it. But overall, it's a very stable application.

The scalability of Control-M is very good.

We plan to expand the jobs Control-M is running, including operating system jobs, and then maybe database jobs such as SQL Server and Oracle. Currently, we have more than 2,100 jobs and we are planning to have 30,000 within two years.

In terms of the number of our employees who are using Control-M, we have about 40 admin users, including on some support teams, our SAP team, and our job-creation team. On the business side, we may have about 15 users. For day-to-day administration of Control-M we need three to five people.

We started with Control-M to replace our file exchange solution, which was a homemade solution. Our needs were growing and growing and our solution was not enough to support them.

For the MFT part, the initial deployment took about four months because we had to convert all our jobs and all our scripts to Control-M. It was not easy because we had a homemade solution, so there was no conversion tool for it. That meant we had to do it manually, with some scripting on our side.

In terms of our deployment strategy, for SAP we started with one SAP system from among the many we have. We started with a complex one, which was Redwood. The version of Redwood we had was not supported by the Control-M importing tool. Again, we had to do it on our side without a conversion tool.

I was the project leader for the implementation of Control-M in our organization. We brought in an external company to help us install the solution. Our experience with that company, to be honest, was not good. We have now changed to a better one. We now work with Ogchee.

We have had a person from Ogchee working with us, full-time, for a few months. He is here to help us and to support the application. But we also worked before with BMC support, and it was okay.

We have definitely seen return on our investment with Control-M. The benefits are very good.

We did not really look at other options because we had some good information from an external partner about Control-M and that is why we went directly to Control-M.

Don't hesitate to use Control-M, because there are a lot of benefits for your everyday work, especially the collaboration, scalability, and the visibility from the tool.

I would rate Control-M a nine out of 10. The one missing point is because the client is not that mature.

We use it for our workload automation. We use it as a single pane of automation for our enterprise.

We are currently using three different environments for three different productions. We have production data tasks, and we have multiple different levels spread out. 

We are currently using its most recent version. In terms of deployment models, they have both models. They have an on-prem solution, and they also have a SaaS solution. It just depends on what your company needs. They can take care of you.

Over the past so many years, I have learned that one of the most important features is giving everybody one tool that can do many different types of automation and workflows. That's been invaluable. Instead of having multiple tools for different teams and different platforms, Control-M has become the one-stop-shop for a lot of these automations.

It is very easy to create, integrate, and automate data pipelines with Control-M. It allows us to ingest and process data from different platforms. It could take us anywhere from a day to a week to get a new integration in place. We've taken it upon ourselves to try to introduce that to all of our internal customers as well.

It can orchestrate all our workflows, including file transfers, applications, data sources, data pipelines, and infrastructure with a rich library of plug-ins, which is very important for us. We try to utilize all new plugins that come out. If our company uses it, we try to use that plugin at least somewhere in our infrastructure.

In terms of creating, monitoring, and ensuring delivery of files as part of our data pipeline, it is a recent project, and it is something I've been learning about recently. However, having the ability to set up a job, set up a connection, deploy that job, and automatically have the feedback on where your files are when they've been moved has made life five times easier.

It has had an effect on our organization when creating actionable data. It has decreased the time to resolve dramatically. Everywhere I've worked, having Control-M orchestrate those alerts has been invaluable.

Our internal customers and management really appreciate the ability to be proactive before things really devolve into a problem or a high-severity incident. We're trying to incorporate analytics and proactive notifications as much as possible to decrease our downtime dramatically.

It impacts our business service delivery speed. Within the past few years, we have taken projects that normally would have taken multiple months, but the duration came down to a couple of weeks. So, we've increased our productivity tenfold.

Its impact on the speed of our audit preparation process has been great. With some of the built-in tools and some of the built-in reporting, being able to pull that data at any given moment has aided audit and probably increased our personal response time tenfold. We're able to get reports and audit out to the requesters within a week, if not sooner. Without Control-M, it would typically take us at least a month or so to get that out.

It has dramatically improved our execution times. We're able to get solutions out the door much quicker. A lot of our automations have been built around that, and we're able to get valuable output relatively quickly. When developing a new solution, without having Control-M, we would spin our wheels trying to come up with something that could only do a fraction of what Control-M can do at this point. Especially for a new solution or a new execution, we would be looking at a couple of weeks if not a couple of a month or two to come up with something deliverable. With Control-M, we're able to get that down to a week or two.

Our ability to integrate with many different solutions has been invaluable. The new approach of the automation API and jobs-as-code is also valuable.

The biggest improvement they could have is better QA testing before releases come out the door.

I have been using this solution for about 10 years.

I love it. It is rock solid. It is very stable.

There are no limits. You can easily scale up depending on your workload or whatever you need in a very short time. You can pretty much automate it at that point.

It is being used extensively in the organization. We do have multiple locations, but because we're using a web client, it is hard to say exactly how many end users are using it at this point. It is a company-wide solution. So, we probably have a couple of hundred users at this point.

They're very responsive. I'd rate them a 10 out of 10.

Positive

I personally have always used Control-M as my primary. I do know that other companies have experimented in the past, but I've always come back to Control-M.

I wasn't involved in the deployment. I always came on a little afterward.

In terms of maintenance, it is relatively maintenance-free besides the patches that come out. They come out pretty and frequently, but when they do, they're pretty comprehensive. Other than that, maintenance is pretty minimal. Because it is low maintenance, our engineering team does the maintenance when required.

We have absolutely seen an ROI. Over the last five years, I've heard we've done price analysis, especially with other tools. We always come out on top with Control-M. It always has the best price-to-performance ratio.

It is critical to our business. I don't know the facts and figures, but from anecdotes and talking to other management and up levels, I can say that it is considered a priceless solution in our environment.

If we no longer had Control-M, a lot of our most important pipelines would fall apart. Workflows would go unnoticed. The automation is so deeply integrated at this point that there's no telling what would break at this point. There may be things that we're not even thinking of.

For the tooling that you get, the licensing is acceptable. It has competitive pricing, especially with all the value that you get out of it.

There are additional costs with some of the additional modules, but they are all electives. Out of the box, you get the standard Control-M experience and the standard license. They're not forcing some of the modules on you. If you decide that you do need them, you can always purchase those separately.

I would advise working with the engineers, reading the documentation, and going into it expecting to set up high availability.

Control-M has been around a while. They're very quick to market, and they're very quick to adapt. At this point, they do have offerings, either on the way or recently released, that can support multiple cloud environments.

We are currently not using the Python Client, but that is on our board, and I do intend on investigating. We are utilizing some parts of the AWS integration.

I would rate it a 10 out of 10.

It is an enterprise tool, and it is a critical one. It is used for scheduling all of our enterprise jobs and monitoring them. We have both cloud and on-premise applications, but Control-M is installed only on-premises. We have high availability as well as load balancing servers in the cloud as well as on-premises.

It is critical for our business. Control-M directly affects our business because all our jobs are integrated into it. Without it, it is very difficult for us to do the monitoring. There is application-level dependency. We have SAP, Logility, and other third-party applications, and then we also have retail applications. We have different types of jobs. SAP handles only SAP-related or ERP-related jobs. In retail, we have stored procedures, and BI has HANA procedures. If Control-M is not there, it would be difficult for application teams to sit in front of the application and wait for a job to finish and then trigger another one. We are a global company, and we have jobs running round the clock. It saves almost half of our time in a day.

It is good in terms of data transfer. We are using the Managed File Transfer plug-in. It is pretty good, and it has good features. In one place, we can see what files have been processed or what jobs have been deleted or failed. We can see everything on the dashboard. If I have to search for a particular file that is missing, I can go there and check. 

It can orchestrate all our workflows, including file transfers, applications, data sources, data pipelines, and infrastructure with a rich library of plug-ins. This functionality is critical from the application point of view.

It has had a positive effect on our organization when creating actionable data. It is pretty good. It is a critical application for us. All our jobs and integration activities are monitored and scheduled through Control-M. We have multiple projects running, and teams are continuously doing the testing in the Control-M. This is the application where they can do all the testing for high-load jobs and other things. It is a critical application for all project teams.

Cost-wise, it is good. It is an enterprise tool that integrates with all the applications in our organization. It has made our life easier because we don't need to wake up at midnight and do monitoring, etc. It does everything. It also sends precautionary alerts. If a job or activity is running for more than the specified time, it alerts the application team. So, our teams do not need to sit in front of a laptop or any open application to watch the jobs. They can do their other regular activities while Control-M takes care of all the jobs. It notifies them when there is job completion, delay, and error.

When we migrated to the SAP ERP application, a lot of jobs got created. We had to do all the things manually and monitor round the clock. Control-M has made our life easier. We can now concentrate on our applications and other tasks.

Since we have got this product in our company, our life has become easier. We don't require much L1 and L2 monitoring and support. We don't have L1 support when it comes to the Control-M application. We do have an L2 team application support, but it is minimal.

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.

We have been using this solution since 2016.

It has been good so far, and I haven't seen many issues in terms of performance.

Its scalability is good. We have more than 100 end-users of this solution.

I would rate them an eight out of ten.

Positive

I was not there when it was purchased and installed. It was already there when I came here. At that time, it was version 8. From 2017 onwards, I've been doing all the upgrades. Currently, we are on version 9.20.

It is updated in-house. Usually, we submit the AMIGO report to BMC for the initial validation. Once they validate and confirm, we do the upgrade. They know what our environment is like, and if there are any issues at the time of upgrade, they easily find out the cause. We also have support from a third party called VPMA. We can take their help as well for critical issues.

In terms of maintenance, there are OS-level updates every month, which are taken care of by the IT team. Application-wise, we do patch fixes when a particular plug-in needs patching.

Cost-wise, it is good. 

I would definitely recommend this solution. Control-M is the place to go if you want to have workflow automation in place. I have previously also worked with the Remedy tool in another organization, and I found it good.

It is pretty good in terms of creating, integrating, and automating data pipelines. If you have all the information, it is a straightforward activity. If it is new functionality, then before integrating Control-M with a third-party application, you need to do some work in terms of configuration.

It is easy to ingest and process data from different platforms. Its setup takes some time, but once the setup is done, it is pretty easy.

We don't use Control-M to deliver analytics for complex data pipelines. We do have analytics, but we have an SAP analytic application called BOBJ BI. We do have a job set up for that. It runs from Control-M, but analytics are shown in the SAP application.

Our cloud usage is not much. From the S3 bucket, we are using the file transfer part from the application perspective, but there is not much integration with cloud applications. We only have the MFT plug-in to communicate with AWS S3. Other than that, there is not much interaction with the cloud from the Control-M application side.

I would rate it a nine out of ten. It has been good so far. I haven't seen any issue. It is easy to use. I still have a lot to learn about this solution.