Control-M Reviews

Control-M is used for scheduling, specifically scheduling application jobs. We have always been using Control-M, as we inherited it. We work with all technologies within the business using Control-M, including WebMethods, Axway, and IBM MQ. In the managed file transfer space, using Control-M, I find that it is not as user-friendly as other products available for MFT.

The best features in Control-M are its ease of use and robustness; it is very feature-rich, which is what we use it for—scheduling. It is easy to integrate Control-M with technologies for our DataOps and DevOps processes as things change. The integration aspects of Control-M are out of the box, so they are straightforward to use. From using Control-M, I have seen improvements as they grow with the versions; with the newer versions come enhanced functionalities, such as the latest version allowing access through a web GUI instead of the client GUI that you have to install, which is quite helpful because you can access it from anywhere.

We are not on the latest version of Control-M; we currently have version 20 and 21.

I have been using Control-M for 10 years.

Regarding stability with Control-M, I would rate it nine out of ten for downtime, bugs, and glitches.

Control-M is very scalable, and I would rate it a nine.

I would rate the vendor's technical support for Control-M as a nine.

We have tried to look at other products, but there is no other product out there that does what it needs to do as Control-M does, which is why it is still around—it simply does what it needs to do.

The deployment of Control-M was quite complex to get in, but once it is in, it does what it needs to do. It took weeks to get Control-M deployed.

Control-M requires maintenance from our end, as we have to perform patching whenever needed, but that does not happen very often—probably once a quarter. Patching for Control-M is easy.

I have definitely seen a return on investment with Control-M in terms of time and resources, but I cannot speak to the financial aspect—I do not know. I would estimate that I have saved perhaps 20% to 30% on time and resources using Control-M.

From what I know about pricing, I would probably put Control-M in the expensive category, but you do pay for what you get; you are paying for a premium product.

We looked at AWS products for scheduling with Control-M; I cannot remember the actual name of the scheduling tool at AWS, but it is nowhere near as advanced as what we need.

Approximately 100 users work with Control-M. They are not all Australia-based; some users are from India, so we have offshore resources as well. My relationship with BMC is both transformative and transactional. Regarding the transformative aspect, I have impressions of BMC as both because we partner with them; we might not be strategic partners, but we value their advice all the time—not just product advice, but sales as well. We consider ourselves a partner with the vendor, but I do not know if we are officially a signed partner; we are a partner at the base level. When I refer to our relationship with the vendor, we are considered an entry level partner; we are not a reseller, so we cannot resell their products, but we are partners and we consult while using their products internally and with customers to support their customer base. Our clients are generally enterprise businesses. I would recommend Control-M to other users; I know they are going all web-based, which they believe is the best way to go, but I can tell you that everybody I have spoken to has said the contrary—they actually prefer the client GUI that you can install, which is easier to use and more feature-rich, while the web GUI is very hard and difficult to navigate through. I have rated this review a nine out of ten overall.

My current use cases for Control-M are mostly for workflow modernization, including internal workflows related to OS type executions, file transfer executions, Azure pipeline, data ingestion, and BDNA workflows.

What I like most about Control-M is the modernized API, which allows me to integrate with many other applications to create job flows using JSON. Application teams can own their own responsibility to create jobs instead of relying on a Control-M admin to create a job every time they need it.

Control-M should evolve into a more web-based SaaS level product, which they are looking into. They should improve the features that were available in Control-M localized installations. For example, if I have the server on-premises, more features are with the client, whereas with the web-based version they moved to now, many features have been missing that we expect should be coming as well. Configuration and CCM are missing most of the features that are in the on-premises version. Those features should be coming very soon, and that would be the best improvement they could bring.

Additionally, auto deployments and patch management always require manual work, so those should be coming through auto deployment, which would help significantly. Software upgrades and similar processes should be more optimized.

I have been using Control-M since at least 2014, which is about 13 years now.

Regarding stability, I would say it is based on the environment. For my bank, I never had an issue with crashing or anything; the performance was good.

Scalability is easy for me. It is all based on the plan regarding how many jobs I am going to use. I do not see any complications with scalability.

I have contacted technical support and we raise cases with them before every single upgrade or migration. We have a method of procedure plan where we check with them about recommendations. Most of the time, BMC does not recommend against proceeding, and they say I am good to go with it.

When there is an issue, the quality of support for a P1 case is good, but the solution they provide can be complicated sometimes, which takes time for them to investigate. Then they have to engage their developer team. Sometimes I would have already known that this is not solvable and only the developer team can advise on it, but they do not take it immediately. They take their own time to provide the solution, meaning they take one or two additional hours. If I were to put support on a scale from one to ten, I would give Control-M support a score of seven.

I have used alternatives like Redwood and some other internal tool called Insights software. Comparing Control-M to Redwood, Control-M is better; however, Redwood has a simpler tier level architecture than Control-M.

I did not migrate from Redwood to BMC; I worked on that software at my previous company where both software were used. AutoSys has also been used there. I have seen developers compare AutoSys to Control-M.

Migrating from other software does not require much work from my side; it is easier even for the developers. Control-M requires a little understanding of how these things work. For example, when the application person reaches out to me, they need to understand first how job creation works and how their job executes on their agent, and it is not more transparent for them. I have to conduct a learning session to help them understand these things, and those aspects are complicated in Control-M. However, Control-M is more optimized in that part. When they understand the tool, they prefer Control-M to any other solution.

When I joined my current bank, Control-M was already deployed but with a very old version. I took care of upgrading it to the very latest version. We were ten years behind, and there was no support, but I managed to get it upgraded to the latest version.

The upgrade was challenging at first. The OS flavors were very old, which Control-M does not support with the latest version. We had to plan carefully, thinking about how we would move to which version, and then we did a parallel build in Red Hat to move it. It was a very comprehensive plan we had to develop. However, it went well. When I am more experienced with the tool, I know how to execute the migration properly.

When it comes to deployment and maintenance, maintenance stays with the administration team, which is my team. We currently work as a core of five people for the deployments. When it comes from the application team to create a job, workflows, or whatever they need planned, it involves four to five people.

Regarding pricing, BMC is a little costlier. They need to come down with execution-based pricing. For my understanding, BMC charges based on executions, whereas Redwood charges or AutoSys charges based on successful completion. BMC is a little higher on that.

Integrating with technologies for my DataOps and DevOps processes as things change is easy. We use DevOps and data pipelines related to Azure data pipelines, and it has been easy for us because the latest version does have the support. We use our own application integrator developed by ourselves, so it was easier for us since we know the tool. My review rating for Control-M is ten out of ten.

I have been using Control-M in my career overall for quite some time. I joined this company about five years ago, but Control-M has been used there for way before, perhaps eight years, nine years, or more than that.

What I like the most about Control-M is that it is very reliable and works well for scheduling and even monitoring. The best thing I could say is the good visibility of jobs and their dependencies. When something fails, suppose when multiple jobs are affected, it would be useful to quickly identify the original failure and what was impacted because of it. Otherwise, it has very good visibility, scheduling jobs, and status is everything is good.

When something fails, as an improvement, it would be useful to have a clear explanation of what actually went wrong. The interface can sometimes feel a little busy for us. Finding the right information can take some time. It is not that we cannot find it, but it takes a few clicks. It is always helpful to have something very clear that quickly identifies what went wrong.

Regarding stability, there is no lagging and no issues with stability; it is pretty good.

Regarding scalability, I can say ten out of ten because it gives very good visibility of all the jobs and stability. There is no crash or downtime. It runs pretty well.

I have contacted the technical support or customer support of Control-M;. If we have any issues or need any help, we do contact them and raise tickets.

Regarding the quality and the speed of the support, as of now, I can say that it is acceptable. The response time is quite good. When we need them to be on call to help us, we decide on time and they come online to assist us. So it is acceptable.

I have never used any alternatives or something similar; we have been using Control-M for quite some time.

Regarding how easy or difficult it was to learn how to use Control-M, we have been using both web client and fat client, and I feel that the fat client is easier than the web client. There are a lot of options in the web client. With the fat client, I get more visibility and a more user-friendly interface. In terms of easiness, since it was already deployed and the functionality was there, it was pretty easy with some training from my team. It was not so hard to get through Control-M.

Control-M does require some maintenance on my end; we have periodic updates and patches. However, that is regular and that is needed to patch the vulnerabilities. Other than that, there is not much maintenance required.

I am not familiar with the pricing;I think it is still in discussion with Control-M.

My use case for Control-M is that I am a Control-M administrator, and I use it for everything, starting from installing, upgrading, and configuring it, to defining jobs and file transfers, so almost everything.

The best feature of Control-M is that it has a lot of integrations with different other tools; I don't think there is any other workflow orchestrator that has so many integrations. I think it has the most, and if you don't have one, you have the possibility to create the integration with whatever tool you want. That's one of the best things I've seen in Control-M.

The ease of integrating Control-M for my DataOps and DevOps processes is actually great because it has native integration with Jenkins and CI/CD pipelines, so you don't have to work hard to integrate this. In my current company, we have Control-M integrated with Jenkins, and everything gets deployed via Jenkins without accessing Control-M, which is honestly the best way to do it.

Building, scheduling, and managing production workflows with Control-M is easy. Control-M also has a feature called Jobs as Code, so if a developer wants to create a job, they don't need to have extensive Control-M knowledge. Developers can create Control-M jobs and flows via code by scripting them in JSON files, making it not so difficult.

In terms of improvement areas for Control-M, the only concern I've seen is some mismatch in documentation, which is not ideal. You may easily find things that happen on the application, but you can spend time or have to raise a case to BMC to find out what went wrong, which is something they need to improve.

I have been using Control-M since 2005, so it should be 21 years.

My relationship with BMC is transformative rather than transactional.

BMC serves as a strategic partner and trusted advisor, helping my company map migrations and deployment. They also developed an integration module specifically for our company based on our requirements.

The integration process with Redwood was easy, didn't take long, and wasn't too complex, as there weren't many jobs involved.

I rate the technical support of Control-M as a nine.

I have migrated from Redwood some time ago.

In my opinion, the deployment process is easy; it is not difficult to deploy Control-M.

The deployment of Control-M takes hours.

Maintaining the Control-M system is easy.

I honestly have no idea about precise return on investment percentages, but I think the Jobs as Code aspect and the integration with Jenkins reduce the time of deploying things and training people to use the application to create jobs.

Regarding pricing, I consider Control-M to be the most expensive scheduling tool. However, it's worth it, as you buy something powerful and complete. In my opinion, despite being expensive, it is one of the best orchestrator tools available.

When comparing Control-M with other solutions such as Broadcom or ActiveBatch, I find that Control-M has a huge integration capability with many tools that other competitors do not have, particularly the native integration with Jenkins and CI/CD pipelines, which other tools lack.

The easy integration of Control-M with DevOps tools has made the decision to keep Control-M as the main scheduler in my organization a straightforward one.

Control-M is deployed in a hybrid model in my organization.

Control-M is deployed on AWS.

My organization is an enterprise business using Control-M.

I would recommend Control-M to other users and suggest they take it. They can conduct a proof of concept, but I don't think they'll find anything more complex than this tool, which is expensive but has everything you need. I rate this product a ten overall.

I have several use cases for Control-M. I have been implementing Control-M for a long time in several enterprises in Brazil, and then five years ago I moved to the US. I started working here in the US as well. I have several use cases for insurance companies and bank companies in Brazil, and currently, I am working with Bank Charles Schwab using this tool to transfer internal files between systems and applications.

We also have user-defined transfers to move files to business partners. Overall, I have been using this solution for 17 years and have many use cases to speak of.

When I joined Bank Charles Schwab, Control-M was already implemented, but I also work on implementing Control-M from scratch.

Recently, I did an integration involving Control-M with Pentaho and Power BI. Even though Control-M did not have the plugin for Pentaho, I managed to run a data pipeline using scripts and successfully integrate it into Power BI dashboards.

In general, the ability to check all your processes in a unified view that Control-M provides is what I appreciate the most about it.

Control-M helps to integrate processes across various applications in big enterprises, making it significantly easier since you have a single point of control and can see failures and impacts on the flow.

Now, with the new plugins that they launch every month, it is easy to integrate with technologies for my DataOps and DevOps processes.

I think they are going in the direction of managing data that Control-M orchestrates. Currently, it is hard to get data from the process that Control-M is processing.

The ease of deploying Control-M depends on the architecture chosen, as some configurations can require more setup.

I have been working with Control-M for 17 years overall in my career.

In terms of scalability, I think it is good. I have seen effective escalation when necessary during issue resolution.

I have contacted BMC technical support, especially when I cannot solve certain issues myself, but I have a good handle on it due to my long experience.

The quality of support is fast during production emergencies, but it can take longer when issues are not critical, with interactions sometimes taking several days.

They have limited support for native language issues, which can create challenges for non-English speakers.

Negative

Usually, I handle the deployment myself, but I need a team to implement large numbers of jobs after the deployment.

I do not have experience using alternatives to Control-M, as I was directly presented with Control-M when I started working with workload automation.

Control-M tends to be the most expensive compared to other competitors. However, I believe it is worth the price since it delivers the most.

It requires some maintenance on my end occasionally, especially when compliance or security updates are needed.

From an administrative standpoint, we are mostly engaged in upgrading, downgrading, and fixing the issues on a day-to-day basis, such as integration with the cloud functionalities. 

My only objective is that the application is up and running 99% of the time. I will make sure that it is not down, and it does not impact my application teams. If it goes down, it has a major impact on SLA, financial, and everything, so I make sure this is up and running 99%.

Control-M improved our organization significantly. We integrated it with our DevOps model, which saved us around 32 FTEs in resource costs. We also integrated with AWS Glue jobs or other clouds, such as Informatica. It's compatible.

Control-M supports our daily IT automation tasks. It is the blood for my entire organization, integrating with every app team, including HR.

Control-M offers pretty good REST API connectivity with other solutions.

The most effective feature of Control-M is the API integration. BMC is focusing on API integration. It's also very easy to deploy and identify issues. 

I don't see any areas where Control-M could be improved because they are doing well. The support is awesome. We have a weekly connection with our BMC tech focal, so I don't see any improvement needed. Things are going well. They are already working on GenAI integration with Control-M. The only thing that comes to mind is the cost. If it could be more competitive, it would be great.

I have been using Control-M for almost 15 years.

The stability of Control-M has been good so far. However, the testing and development phases need to be more rigorous before releasing patches. I would rate it an eight out of ten for stability.

It's scalable. I would rate it a nine out of ten for scalability.

It's used across multiple departments. There are more than 3,000 users.

Control-M's technical support is very helpful. The immediate acknowledgment and solutions provided by BMC's support team make it stand out compared to other tools. I would rate them a ten out of ten.

Positive

My current organization has been using Control-M for 20-25 years, but I have used Autosys and IBM Workload Scheduler previously.

The initial deployment of Control-M was straightforward. We started with version 6.4 and are now at 9.0.21.304.

When I started, it used to take about eight hours. We are now able to do it within 30 minutes, including the downtime.

We are using it on-premise because their SaaS solution is not capable of handling our workload. Its maintenance mostly involves upgrades.

I handle the deployment. We have about five members involved in the deployment of Control-M from our side, including an administrator.

After implementing Control-M, there should be cost savings or efficiency gains.

Its cost can be more competitive. One of the main things customers look at is the cost. It's not affordable. The cost is very high, according to my customers. The licensing cost is very high, and they often consider switching to IBM Workload Scheduler or other options.

There aren't any extra expenses after purchasing Control-M. We have never paid any extra cost unless we needed additional packages, and the team was able to help us with that.

Nothing comes to mind regarding alternatives to Control-M, but I see all the features available in it since it is a leader. However, other solutions might be more cost-effective.

If you want to implement Control-M in your business, the first thing is to look at your budget. Checking affordability is key. Control-M has a lot of features, more than just scheduling batch jobs. 

The biggest lesson I have learned from using Control-M is that you need to have patience. Errors or issues cannot be resolved without developer assistance, but once you get their help, you learn a lot.

I would rate Control-M a nine out of ten.

I have been working with Control-M for about six months as part of my role. During this time, I have mainly used it for monitoring and managing batch jobs and automated workflows.

Our main use case for Control-M is managing and monitoring batch workflows across different systems. We use it to schedule jobs that run scripts, database processes, and ETL-related tasks. We make sure they execute in the correct order based on dependencies. On a daily basis, I mostly work with monitoring job runs, checking job statuses, and troubleshooting failures when a job does not complete successfully. We also review logs, rerun jobs when needed, and make sure the workflows complete within the expected time windows. Control-M helps centralize all this so we can track and manage automation more efficiently instead of handling tasks manually.

One of the examples for centralized monitoring in Control-M is the ability to view the status of all the scheduled jobs from a single dashboard. Instead of checking multiple systems individually, we can see whether jobs are running, completed successfully, or failed in one place. For example, if a job that runs a database script fails during the night schedule, we can quickly identify the failure from the monitoring interface, review the logs, and rerun the job if needed. This helps the team respond faster and keep the workflow running smoothly.

One of the best features of Control-M is its ability to manage complex job scheduling and dependencies across different systems from a single platform. It makes it much easier to automate workflows and monitor job execution in real-time. The centralized monitoring and alerting help us quickly identify failures and take action, which improves reliability and reduces manual effort.

Control-M has had a positive impact by improving the automation and reliability in our batch processing workflows. It helps ensure that jobs run in the correct sequence and reduces the need for manual intervention. The monitoring and alerting features have also made it easier to detect failures early and resolve issues quickly, so it helps keep our scheduled processes running smoothly.

One area that could be improved is the user interface. While the platform is very powerful, the UI can sometimes feel complex for new users, and it may take time to become familiar with all the features. Improving it and making the navigation more intuitive would help teams adopt it more quickly.

Another improvement could be simplifying the initial setup configuration process for organizations that are implementing Control-M for the first time.

I have been employed for almost four years, approximately three years and ten months.

Control-M is definitely stable. In my experience, once workflows and jobs are properly configured, it runs reliably and handles scheduled processes consistently. Most issues we encountered are usually related to the jobs themselves rather than the platform, and the monitoring tool helps identify and resolve them quickly.

Control-M is quite scalable in my experience. It can handle a large number of jobs and workflows across different systems without major performance issues. As the workload grows, it is possible to expand the environment and manage additional processes while still maintaining centralized monitoring and control.

Customer support has generally been good. The support team is responsive and provides helpful guidance when issues arise. The documentation and knowledge base resources are also useful for troubleshooting common problems.

Before using Control-M, some workflows were handled through basic scheduling tools and manual scripts. Moving to Control-M helped centralize job scheduling and monitoring, making it easier to manage dependencies and automate processes more reliably.

The biggest lesson I learned while working with Control-M is the importance of properly defining job dependencies and workflows during the initial setup. When dependencies are clearly configured, the automation runs smoothly and requires less manual intervention. It has also highlighted how valuable centralized monitoring is because it allows teams to quickly identify and resolve issues before they impact downstream processes.

We are just a user.

For return on investment, we have experienced improved automation and reduced manual effort. In terms of operational efficiency, automation through Control-M has reduced manual overhead by around twenty to thirty percent, especially for routine batch job monitoring and scheduled tasks.

I have no idea how the pricing, setup, and cost licensing is done. It is done by the finance department.

We saw the working methodology of Control-M, how batch jobs are handled, and how the automation works, so we just went for Control-M.

With job scheduling and workflow automation, this automation has increased the scheduling time by fifty percent. The monitoring task has been reduced by twenty to thirty percent. Instead of going on multiple tabs, we can view it at once. Workflow management through the technologies is a bit of a complex task. As we have used this, we can implement it. For new users, it might be a bit complex.

Currently, we have been using this for the past six months. We are seeing good, positive results. The automation workflow is also good, and the batch scheduling jobs are definitely good. We will still want to try it on different platforms and then decide on any further usage or increase in usage of Control-M.

In production, this workflow is mainly through the monitoring and reporting features in Control-M. We check the job status to make sure the scheduled process completes successfully within the expected time window. If the job fails or is delayed, we review the logs again, analyze the dependency chain, and rerun or troubleshoot the job if needed. This helps ensure that the overall production workflow continues without impacting downstream processes.

One piece of advice I would give is to spend time planning the job dependencies and workflows carefully during the initial stages. If the workflow is well-structured, Control-M can automate processes very efficiently and reduce manual intervention repeatedly.

Overall, Control-M has been a reliable solution for managing automated workflows and scheduled jobs. It provides good visibility into job execution and helps teams maintain operational stability. I gave Control-M a rating of eight because it is a very reliable solution for scheduling jobs and automating workflows, and it helps me manage complex job dependencies and provides good monitoring capabilities, which makes it easier to track and troubleshoot batch processing. The reason I did not rate it higher is that the interface can feel complex for new users, and the initial setup and learning curve could be improved. With some improvements to the user interface and onboarding experience for new users, it could become even more effective.

Mostly, customers need to perform file transfers, which is a main use case for many customers. Many customers I worked with use various kinds of file transfers, and I use BMC Control-M Managed File Transfer for this purpose.

This solution affects our organization's business modernization initiatives as BMC Control-M Managed File Transfer can remove silos. When you don't have an orchestration product, many departments perform tasks in an isolated way. With our orchestration, I can integrate legacy assets with modern assets. Technology is always reinvented, so you have to handle backward technology and gain business advantages when you use new technologies. Using BMC Control-M Managed File Transfer for orchestration is the best definition for this.

I use BMC Control-M Managed File Transfer as a core feature. The best features with MFT are accurate file transfer and visibility for file transfers. 

Regarding the usability of MFT, it is very easy and powerful to use. 

BMC has made some improvements for this product. For example, I can use MFT inside my company and then use MFT Enterprise to exchange files with external users. 

I have noticed more features and enhancements for this product in the latest releases. BMC Control-M's Application Workflow Orchestration is very advanced. 

While I am unsure if BMC is a leader in the Gartner Magic Quadrant, they have been working in this area for many years and have improved their product.

The solution has helped reduce IT operation costs.

BMC is already improving in artificial intelligence and integration with cloud. AI can improve and is definitely an area where BMC Control-M Managed File Transfer continues to enhance.

I have good feedback for the deployment because when customers show challenges, we can perform a smooth deployment for this solution.

BMC Control-M Managed File Transfer helps to reduce costs. When you have control of your entire production, you can be proactive and control your SLAs. You can save substantial money just by having control of everything. 

It saves significant time. Here is one use case: when you don't have visibility of your infrastructure, you have a misconception that everything is fine, however, when you discover that some processes have not been handled properly, you will discover this too late. When you discover something is late, you will lose money and time. However, when you have everything under control with BMC Control-M Managed File Transfer, you can be proactive and prevent scenarios where you lose money and time because time is money. 

This is the main benefit; when you have everything under control, it prevents you from losing money and time.

On a scale of one to ten, I rate this solution a ten.

Control-M is similar to Stonebranch and Redwood. It is a workload automation system that automates steps typically defined by humans. Previously, if humans performed 100 steps to complete a task, they can now input these steps into Control-M and let the system run them automatically. 

The most common use case is in banking. In banking operations, there are daily transactions between customers that need to be processed, closed, summarized, compiled, and sent to the core banking system for execution. Manually, this process could take more than eight hours per day. With Control-M automation, this time can be reduced to one hour or even 30 minutes. Before the cutoff time at 12:00 a.m., Control-M performs the batch job or end-of-day process, executes it, passes it to the core system, and marks it as a finished job for the day.

Control-M makes it simple to create, integrate, and automate data pipelines. Essentially, you have a single dashboard where you can manage everything. You can create the job, perform quality checks before promoting it to development, and then execute it in production. You can also monitor the jobs to see if they fail or trigger any alerts that require attention. Overall, the process is very straightforward and simple.

It is pretty easy to integrate with technologies for data operations and DevOps processes as things change. Control-M is API ready, so as long as the other side also has an API, it’s a done deal.

Stability is crucial in the banking or financial sector, where operational downtime must be minimized. Control-M provides exceptional stability compared to competitors such as Redwood, Stonebranch, or Perpetuity. The second valuable feature is the user-friendliness of the tools, making it easy to learn and use.

Control-M can execute batch jobs and monitor the jobs it executes, though it does not monitor servers or other systems.

Since the system is stable, clients don't typically request rapid improvements. However, one area that could be improved is the AI capability and AI generative features, as these are becoming increasingly important in modern systems.

I have been working with it since late 2010, approximately 15 years.

After migration to Control-M, there is an initial stabilization period. Once properly implemented, the system becomes very stable, which is one of its strongest attributes.

It is a scalable solution. Our clients are enterprises. About 85% of banks in my country use Control-M.

I would rate their support an eight out of ten.

There was a previous solution from either Redwood or Stonebranch, and another tool called Perpetuity. Customers were successfully persuaded to migrate from these solutions to Control-M. The success rate of migrations is usually more than 97%, and it may even be almost 100%.

Implementing it is not straightforward. It requires careful installation, customization, and configuration. Unlike simply installing Microsoft Windows or Office, this solution demands significant effort and time. It is not as simple as it may seem.

Technical migration can be completed in a few months, but full implementation including user adoption and socialization typically takes about a year. This is because the tool has various users beyond IT, including business users, trade finance users, and branch users who need time to learn and become comfortable with the system.

We have previously attempted to work with the services team from BMC and found their design to be good. However, we prefer not to proceed with the actual on-site implementation. Their prices are quite high, and their approach is too rigid for our needs. Therefore, we believe it is better for us to handle the implementation ourselves.

Automation can benefit customers in many ways, particularly when it comes to saving money. For example, if we rely on human workers, we may face long Recovery Point Objective (RPO) times, which could extend up to 88 hours a day. Additionally, humans are prone to making mistakes. Let's consider a scenario where an operator is manually summarizing transactions from a single branch. If that branch has 10,000 transactions in one day, it can be quite challenging for the operator to keep track. This may lead to issues like double data entry, where the operator mistakenly inputs the same data twice. Such errors can be disastrous for a bank, potentially resulting in financial losses. By implementing automation tools, you can minimize human errors and improve efficiency.

The Total Cost of Ownership (TCO) for Control-M is more economical compared to other solutions. While competitors might offer lower initial prices, they often include hidden costs that emerge after the first year. Control-M maintains a straightforward pricing model based on license count, implementation, and training, without unexpected future costs.

Control-M uses a simple pricing model based on the number of jobs per license, where one job equals one license. After assessing customer needs, proposals typically include the required number of job licenses plus implementation fees. The implementation fee covers installation, customization, configuration, job building, testing, and execution until the solution is running perfectly.

When you purchase a license, it's typically through a subscription model. Some people refer to this as a subscription type or ops type. If a customer opts for a subscription, it's similar to renting a car; you must renew it each year. It's important to note that there may be an annual price increase determined by BMC, and the specifics will be decided by the principal.

BMC is an important strategic partner for our company. Around 70% to 80% of our business comes from working with BMC, or more specifically, from selling BMC products.

The biggest lesson learned is the importance of providing perspective to customers rather than simply following their requests. It's crucial to understand and discuss their requirements thoroughly, such as questioning why they need a specific number of jobs.

I would rate Control-M a nine out of ten.

My use case with Control-M is to handle scheduling and automation processes.

Control-M's best features are its reliability and user-friendly interface. Control-M has improved our organization by streamlining our workflow and increasing efficiency.

The areas that have room for improvement in Control-M are the user interface enhancements.

I have been using Control-M for more than 10 years in our organization.

I rate the stability of Control-M as an eight out of ten.

Regarding scalability, I rate it a nine out of ten.

I rate the technical support of Control-M as a seven out of ten.

I find it very difficult to quantify the return on investment I have seen with Control-M.

My thoughts on the pricing of Control-M lean towards it being expensive; I would rate it a ten out of ten as very expensive.

I compare Control-M favorably with other solutions and vendors in the market.

I find it easy to integrate Control-M with technologies for our DataOps and DevOps. Control-M is being used extensively across multiple departments in our organization. Approximately 100 users utilize Control-M in our organization. Control-M does require maintenance, and I would say it is complex in some aspects. My relationship with BMC is more transactional than transformative. My advice for others looking to implement Control-M would be to focus on improving their documentation and consider the challenges with add-on products like Workflow Insight, which does not have RBAC, making implementation difficult in organizations like ours.