Control-M Reviews

My main use case for Control-M is job scheduling and monitoring. We monitor the jobs that we schedule. For example, if we need to check whether work is being completed on time, we use Control-M to run the job at the specified moment. We set the job, and it runs automatically. If anything fails, monitors are activated, and we receive the resolution.

I manage the integration and sequencing of data processing across diverse data platforms and cloud environments by using applications that fulfill those needs.

My organization is not currently using Control-M to support AI or ML workloads, but I will take this information to my management and explain how the event went and what products were discussed, as the decision is not solely my responsibility. The organization and the respective team will make that determination.

No updates are needed for how Control-M has facilitated the integration of Kubernetes or cloud-native workflows with traditional batch processing within my organization, as we are specifically focused on batch monitoring. We schedule jobs accurately and rely on Control-M to perform these tasks very well.

Control-M plays a major role in my work personally because we used to deploy many things manually, and it helps me by automating those tasks.

The best features Control-M offers include batch monitoring, RCA, and automation, both on-premises and cloud. I learned many things at the event, and I will try to implement those in my company.

Out of the features, my favorite is RCA because we put more effort and time into it. At the event, it was very gratifying with many innovations happening in Control-M, and I look forward to implementing the great things and new innovations in my company.

Regarding Control-M's AI capabilities, I do not have hands-on experience, but based on the event I attended and the demos I watched, it is performing great. The accuracy is good as it is not very poor because, comparatively, it is doing very well.

At this point in time, I have no recommendations to improve Control-M, as it is one of the best entities in this space because it saves us time. I do not wish to add anything more about needed improvements or small features I wish existed at this point.

I have been using Control-M for two years.

Control-M is stable as far as I have used it.

Control-M offers decent scalability.

Customer support is great. I would rate the customer support a nine on a scale of one to ten.

I previously used ServiceNow as my solution, but I switched to Control-M as part of an organizational decision, and I feel it is better.

The finance and sales teams will look into it, and I am just the end user in this situation.

The respective team will take care of that, but as far as I am concerned, you will be reasonable in the market.

I rate Control-M a 10 because it eases my work. I advise others looking into using Control-M to fully understand the product before starting, as most of the time we are not aware of the product's scale, importance, or capabilities.

Control-M serves as our main business use case for business application batch job scheduling. Control-M is not a user-interacted system; it is a batch scheduling system where our applications interact with Control-M rather than users. We do not use Control-M as a DevOps tool, but we utilize it for all our applications, which are batch-based applications. Control-M orchestrates workloads across multiple environments. Control-M is handling complex data pipelines and analytics processes effectively.

The features of Control-M that I prefer most are Control-M/EM, Control-M/Server, and Control-M/Agent, which make up the Control-M batch scheduling system.

Control-M is easy to use because our key application is a batch-based application, so Control-M performs the job for us by handling all the automation and related tasks.

The measurable benefits my company has achieved with Control-M include improved SLA and reduced errors, as manual batch job runs lead to numerous errors and failure to meet the SLA.

Since we have been using Control-M from day one for batch scheduling, we do not have a percentage showing improvement because we have not used manual scheduling at all.

Regarding AI or automation, we would appreciate the opportunity to explore the AI functionalities because the application we are currently using does not support AI. It would be beneficial in the future if Control-M were to have AI capabilities.

I have been using Control-M for around eighteen years.

Control-M is a stable product stability-wise, and we do not encounter many issues. The only problem occurred when we upgraded to the latest version, which resulted in CPU spikes in Java, and this was resolved with support and a patch.

The support for that issue was adequate. We called support and eventually received a solution after reaching out multiple times, and the issue is now fixed.

Control-M's scalability is adequate. It is a scalable product, and we have not over-engineered it, so it meets our business needs.

We provide direct feedback to our support partner for Control-M, so nothing comes to mind at the moment. I consider the current support to be adequate.

On a scale from one to ten, I would rate customer service and technical support as seven. A score of seven is decent enough. I am not saying Control-M support is a perfect ten, but I consider seven to be a good rating.

Positive

It has been a long time since we looked at other solutions, so I do not remember what we considered.

We do not handle Control-M deployment ourselves. We simply install it, and it is a stable environment, so we do not keep deploying it regularly.

BMC's service team supports our deployment and migration strategy well, with professional service and good support during our recent upgrade.

The biggest return on investment when using Control-M is ensuring that all batch jobs for our business applications meet the agreed SLA, which justifies our investment since we use this tool for a critical application.

Control-M is not inexpensive. Looking at other tools in the market, they are offering competitive prices, but Control-M, as a BMC product, is definitely not inexpensive, and BMC could improve their pricing strategy.

We have looked at other products when considering switching, but I cannot name them. I do not see a major difference between the products we looked at while considering Control-M. Pricing-wise, the other products were less expensive.

I would rate Control-M as a seven as a product. My advice to other companies considering Control-M is based on all our lessons learned, especially regarding issues we encountered during migration and implementation, which should be taken into account. I have assigned a review rating of seven to Control-M.

I use Control-M for day-to-day tasks that depend on my work or something that I need based on the requirement.

A specific example of how I use Control-M is when I am searching for something and I want it to work quickly, especially when looking for some data.

When working with data using Control-M, I process a lot of data and need to get reports sorted out, which is where I usually use it.

The best features of Control-M are that it makes my work easier, makes my reports easier to handle, and I don't have to do a lot of hard work when processing any data.

The way Control-M organizes my data is very good as it automates tasks and helps with presenting my work efficiently.

Control-M positively impacts my organization by assisting in processing a lot of data and generating continuous reports.

Control-M has helped me assess my data with noticeable improvements in speed, accuracy, and efficiency.

Control-M could be improved through a little bit of advancement or having fewer steps would be helpful.

I have started using Control-M quite recently.

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

I chose a nine because I have been very happy with the product and the way it works for me.

My advice to others looking into using Control-M is to please use it because it is very helpful and has helped me in many ways.

Control-M will primarily be used for coding, writing code, debugging errors, and building projects. It is part of my part-time work and serves for learning, explaining concepts, and similar purposes. I also use it for design, as I am a Solution Architect.

For a coding example, if I want to create a calculator that adds, subtracts, multiplies, and divides two numbers, I would use Control-M for that. There are many other ways I use Control-M beyond my main use case.

For cloud environments, the integration for Control-M will have multiple layers. Scheduled jobs and all things will be monitored.

The integration layers will be numerous, possibly through APIs or agents. That will be integrated with AWS, Azure, and Google Cloud. The exact integration depends on the cloud service.

In the future, we plan to use Control-M to support AI or ML workloads. We are exploring this possibility.

We are not using Control-M with Kubernetes.

The user or administrator will be responsible for taking care of compliance requirements with Control-M, where the activity is recorded. An audit record will document all the jobs.

The best features Control-M offers include workflow automation, job scheduling, monitoring and alerts, and integration.

Job scheduling and monitoring help automate repetitive tasks, run tasks at specific times, or handle some failures automatically.

Control-M has impacted my organization positively in that we are able to save time. It helps reduce human errors and improve productivity. Some of the tasks run on time, allowing us to manage or detect failures and manage all our complex workflows.

Control-M may need to improve its GUI. It should be more user-specific. Right now it is user-friendly, but I want it to be more precise for the users.

I have been using Control-M for about two years.

Control-M is stable.

Control-M's scalability is good.

The customer support for Control-M is good.

We are not using any other solutions as of now. We are planning to use Control-M.

We have not deployed Control-M in our organization. I am using it as a customer.

I have seen some return on investment with Control-M as there are reduced missed deadline costs and recovery costs. That is one of the key ROIs I can mention.

In terms of pricing, there are two pricing tiers for Control-M: a starter pack for the SAS layer and enterprise custom pricing. My experience is that it is a bit overpriced.

Before choosing Control-M, we did not evaluate other options. We are trying to explore it. There are other competitors. I will be exploring in the future for IBM or other automation solutions.

On a scale of one to ten, I would rate Control-M a seven.

I chose a seven out of ten for Control-M because it does things that reduce my time and improve my productivity.

Regarding Control-M's AI capabilities, it has access control, originals, and many of the scheduling standards. It helps restrict who can run the job. Monitoring and alerts are present, where it identifies failures. It acts as a watcher.

Governance should be improved for it to be more useful in the field of AI. I am referring to predictive analytics, anomaly detection, monitoring, or root cause analysis. Those are the kinds of things I would add to it.

I would advise others looking into using Control-M to explore it.

My main use case for Control-M is scheduling pipelines and orchestration. We have a supply chain pipeline that runs every week, and it is scheduled on Control-M to automatically trigger the pipeline.

I manage the integration and sequencing of data processing across diverse data platforms and cloud environments through application-specific linking.

We are not currently using AI and not planning to use it.

Using Databricks as a data platform and scheduling in Control-M required some adapting, but it is proceeding smoothly with no improvements needed.

None of these compliance requirements are involved.

Control-M has positively impacted my organization by requiring lesser attention to monitoring, allowing more focus to be paid toward development.

Every week, at least two to three hours are saved because of Control-M.

The best features Control-M offers are automatic scheduling, alerts when the pipeline fails, and easy debugging.

Regarding the automatic scheduling feature, we have a pipeline scheduled for every Monday, so we do not need anyone to monitor the pipeline runs. We receive automatic alerts when there is any issue with the pipeline run, which makes the monitoring task easier.

Email alerts are helpful.

One improvement would be if the alerts went out to one particular person rather than the whole team, such as a team lead who is responsible for this pipeline.

I rate Control-M eight out of ten because of better alerts and more options that would make it a ten for me.

I have been using Control-M for one year.

Control-M is stable.

Control-M's scalability is quite optimizable.

Customer support is easy to reach and responsive.

I would rate the customer support a nine on a scale of one to ten.

I previously used Databricks for pipeline scheduling.

Control-M is affordable and compared to other applications, it is within a good price range.

We did not evaluate other options before choosing Control-M.

Control-M has a rating of eight out of ten from me.

Regarding Control-M's AI capabilities, it meets expectations.

In terms of Control-M's accuracy and reliability of output, it is quite accurate.

My advice for others looking into using Control-M is to go with it. It is adaptable, easy to use, and easy to learn.

We have been using it in the institute to manage all the student data and post-study processes.

We have been using Control-M in our IT department to maintain server backups and database updates and schedule regular updates. Furthermore, it is being used in our library system to automate periodic updates of library catalogs. Control-M also automates email notifications for event announcements and fee structures.

The best feature is that we can automate everything. Moreover, we can access all the features through one dashboard, which is beneficial. 

We have been using Control-M for managing simple automation tasks. It will be very effective in managing other types of tasks. Control-M has the potential and can be very useful in managing business aspects.

The licensing cost can be improved. Although it provides good value, it could be better. The pricing model should be optimized.

Its initial setup is a bit complex. They could provide more documentation and tutorials to make the initial setup easier to understand. Enhancing the documentation could simplify the setup process.

We have been using it for more than one and a half years.

The tasks we have been handling are straightforward automation tasks. Considering that, I would rate it a ten out of ten.

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

We have 50 to 60 users.

Technical support has improved. In the past, they were not as supportive, but they are better now. Based on recent experiences, I would rate them an eight out of ten.

Positive

This is the first solution that we have used.

The initial setup and configuration are a bit challenging. There is a bit of a learning curve for some people. It takes a few days.

At the time, there were not many recommendations or resources to understand and deploy it properly, so it took us a couple of weeks to understand and deploy. It has been simplified over the last eight to ten months.

We implemented it in-house.

It has reduced the total cost of ownership by 30% to 40%. 

It has saved a lot of time for our employees and staff members. For a small task, there have been about 40% to 50% time savings.

It is a little bit expensive.

Our relationship with BMC is more transformative. We consider BMC as a strategic partner and trusted advisor.

I would definitely recommend Control-M to every institute because it is extremely helpful to manage every task without any manual error. I would suggest trying Control-M at least once. It is also recommended to start with the documentation and familiarize oneself with basic concepts before integrating it into the business aspect. 

Overall, I would rate it an eight out of ten.

Control-M's main use case for our organization is AI-driven operations. We manage the integration and sequencing of data processing across diverse data platforms and cloud environments by using third-party applications.

We are planning to use Control-M to support AI or ML workloads. We have plans to use Control-M to facilitate the integration of Kubernetes or cloud-native workflows with traditional batch processing within our organization, and we are using batch processing. We're using cron jobs for batch processing to address compliance requirements with Control-M.

Control-M offers the best features by providing the latest innovative features. Regarding Control-M's AI capabilities, it follows governance and security, and we are happy with that.

When it comes to accuracy and reliability, the output of Control-M is really good. Control-M has positively impacted our organization. Using Control-M has made things better for our organization.

No improvements are needed for Control-M that we haven't mentioned yet.

I've been using Control-M for the past six months.

Control-M is stable.

Regarding Control-M's scalability, we can scale when we have a load on the applications, and we are good with it.

Customer support for Control-M is very nice, and we are happy with that. I rate customer support an eight.

We have not used any different solutions.

We have seen some return on investment.

The cost is around $500.

We have not evaluated any other products before choosing Control-M.

I rate Control-M a nine out of ten. I feel Control-M is better to use, which is why I gave it a nine.

Control-M is deployed in our organization on a public cloud. We are using a multi-cloud approach with Azure and Google Cloud. Currently, I would follow the documentation and share feedback on the same to others looking into using Control-M.

My main use case for Control-M is to deliver the client's cases.

A recent example of how I use Control-M to deliver a client's case involved a complex client case with several moving parts and a tight delivery timeline. I took control by first clarifying the client's requirements, breaking the case down into specific actions, and ensuring that I understood the responsible deadlines. By keeping the client priorities focused, we ultimately delivered the case on time and to the expected standard.

The best features of Control-M are the ability to take ownership of a case from start to finish, keep track of all important details, and ensure nothing gets missed.

Control-M has positively impacted my organization by providing better visibility, consistency, and accountability across the client cases. It helps us stay organized, track work more effectively, and ensure that important actions and follow-ups are not missed. It has also improved collaboration, as everyone has a clear understanding of what needs to be done.

Control-M is functioning well, and I am not aware of any necessary improvements at this time.

I have been working in my current field for the past four years.

I have been using Control-M for the last two years.

I would rate Control-M an eight overall on a scale of one to ten.

I gave Control-M an eight because everything is good, but I have not been exploring all the features, which keeps it from being a ten.

I believe Control-M's AI capabilities provide complete assurance of security to us, so there is no issue with governance and security.

I think Control-M's AI capabilities are generally accurate and reliable, especially for handling routine tasks, summarizing information, identifying relevant details, and helping move cases forward.

Control-M is deployed in a cloud-based environment within our organization, with appropriate enterprise security, access controls, and governance measures in place.

We use AWS as our cloud provider.

Control-M is relatively easy to integrate with our existing DataOps and DevOps processes because it can fit into the broader technology ecosystem without requiring major changes to our workflows.

I recommend that others looking into using Control-M understand the business problem and start with a focused use case, validating the results while paying attention to the quality of the data and inputs.

Control-M offers excellent scalability. One person can deploy it, though a team deployment is also an option. The quality and speed are both very good.

My relationship with BMC is more transactional. I am primarily paying them for the service rather than experiencing active involvement from their team.

We work with both Control-M and another solution. I use Control-M in my company with eight people overall using it. I do not have any official partnerships with BMC, and we are not resellers. We are simply a customer of theirs. I would rate this product an overall seven out of ten.

Control-M is used for orchestrating various requirements in the Infosys organization, which involves employee pay slip processing, attendance processing, month-end and quarter-end activities of the organization.

During month-end activity with respect to the finance of our organization, database stored procedure jobs are running in Control-M, which processes data from one source to another destination.

Many other processes are being done with respect to access management of employees within Infosys, applying work from home, work from office, applying leaves, and processing any movement of employee-related data.

The entire workload is on-premise with no workloads running in a cloud environment currently. The sequencing is based on requirements where job sequencing depends on database stored procedures, database SSIS packages, .NET jobs, Python jobs, Java jobs, and SAP workloads.

There is no integration with Kubernetes or cloud-native workloads. Control-M's reporting section is used majorly to generate reports for auditing, including job creation reports that detail when it was created, who created it, and whether that person had access. Audit reports from Control-M provide details of the actions performed by each person.

Control-M has provided features and visibility into how orchestration is being done and how executions are being tracked. The APIs provided by Control-M are useful for our organization.

Control-M offers audit, orchestration, and visibility to end users.

With respect to audit, we are audited by the Big Four, and it is important for us to track who has access, who created the job, who monitors the job, and who runs the job, which is crucial for compliance and audit guidelines within our organization. Control-M provides visibility into tracking all audit trails of these activities.

Implementations outside Control-M exist wherein APIs of Control-M are invoked and notifications are sent from Control-M with respect to the status of job executions via email.

Everything looks good and there are no areas for improvement at this time.

I have been using Control-M for almost five plus years.

There are stability issues with Control-M.

The scalability of Control-M is good.

The customer service is good and great.

Previously, we were using the SAP CPS product, which is a Redwood product, and we had to migrate out of that due to the end of life of that product.

Control-M has provided a return on investment because it has given us significant improvements over the previous scheduler we had, including automations due to the APIs exposed by Control-M.

The setup cost is good.

Eight would be a perfect rating.

The recommendation would depend on the requirements that we have, but as of now, Control-M is good.

Control-M's AI capabilities have not been used. We do not have a solid plan currently, but we will consider using the AI capabilities in the future.

Control-M is a good product for orchestration, especially with the integrations available within the product, which cover most of the technologies, providing greater visibility into the audit trails that help us comply with audit requirements.