Control-M Reviews

Our company uses the solution for workload automations such as application schedules or file transfer jobs for customers. For multiple jobs, we schedule the second job to execute based on the output of the first job. Basically, workflows are defined and centralized.

We implemented and provide ongoing support for three to four major banking customers. 

The job scheduling and file transfer are two major, important features. 

The work routine manager is useful. 

The solution is easy to use. 

The solution should improve the out-of-the box conversion tool for migrations so the percentage result isn't so low. We have many use cases where we migrate from different vendors like Otter. When we see the result for main frames, the percentage is low. A higher percentage would give us more confidence. We want to share good results with our customers. 

There is no option to deploy agents from Control-M itself so they have to be installed manually and that is time consuming. BMC does provide a separate tool to deploy the software but it would be easier to do from the solution's controller. 

I have been using the solution for ten years. 

The solution is very stable. 

The solution is scalable so scalability is rated a nine out of ten. 

Technical support is good. First, customers reach out to us and we troubleshoot. If we cannot resolve an issue, then we raise a ticket. Support fixes the issue or escalates it to the next level or engineering.

The setup is straightforward and not complicated. 

We implement the solution for customers. An on-premises implementation can be completed in one day or faster depending on the customer's infrastructure. Agent deployments are what take time. 

We install the agent on one to five packets, prepare the SOP, share it with the customer, and ask them to install it. If the customer has an existing automation tool for deploying software, then we give them the bundle. If we are providing the BMC solution, then we create a package for the agent and deploy for the customer. 

Yearly licenses are based on the number of jobs. 

I definitely recommend the solution for automating manual workloads. You get good visibility for jobs and a dashboard to maintain things. There are no challenges and all of our customers are happy with the solution. 

I rate the solution a ten out of ten. 

We use this solution for automating the workloads of an application. For example, if an application in an organization has a lot of manual tasks, it can be automated in a batch with the help of Control-M.

The solution is deployed on-premises. Helix Control-M is cloud-based, but most of the companies that use Control-M deploy it on-premises.

MFT is one of the most valuable features. There's another feature called Workload Archiving, where the data for all the jobs can be stored for however many days that we want, which is very useful for any historical analytics.

There's a feature called Workflow Insights. There are eight different kinds of dashboards in Workflow Insights, but there could be more because there is third party software that provides more dashboard styles.

I have worked with this solution for about 12 years.

It's very stable. It's the leading workload automation tool in the market.

It's very scalable.

I have used customer support from the BMC. There's also a community that has a knowledge base for all of the possible issues. When we can't find the answers, we use technical support.

Setup is straightforward.

Deployment took about three months because we had to plan the infrastructure.

We did the implementation internally.

The license is paid yearly.

Apart from the standard license, if we avail any additional features, there's an extra cost. For example, Workload Archiving is an additional feature from the standard product, so we pay extra for that.

I would rate this solution as eight out of ten.

I would recommend this solution to other people who are interested in using it.

I've been with the same company for 22 years. The use case started out truly as a batch processing solution. That was what we originally got it for back in the day to help us automate what was being done manually or being done through homegrown tools or scripts, et cetera. The use cases evolved through the years. Now, we use it to orchestrate workflows that are touching traditional data centers and that are going out to the cloud and bringing it back.

From one spot, we have a single pane of glass. Like many companies, our systems are getting more complex and more diverse, with cloud and edge computing, containerization, et cetera. However, we have one place where we can go and look and see what's going on. If something happens, we can check what happened and where it happened. Today, we're dependent upon a lot of services and cloud technology that sometimes we don't know the ins and outs of.

A big challenge is to make sure that we have certain things run daily or on a periodic basis. That really was the driving use case. We had a lot of manual tasks going on and if someone, for example, left on vacation, something may not get done for two or three days, a week or two weeks. This solution takes all that away.

The main use case was to get away from having to stare at a system or a screen, and just let things run, let the workflows flow, and only be notified if there's something wrong. That was really a big driving use case.

It freed up people to work on exciting work instead of mundane work. No one has to sit around and stare at that screen all day long. No one has to reinvent the wheel for the 50th or 500th time to do tasks like maybe put a file out into an S3 bucket or out into an HDFS Hadoop file store since it's already there. It's already done for them. They just drag, drop, click and they're done. It's freed people up and they can do the exciting work that is really what we should be doing anyway. No one wants to be doing boring work.

I am a big proponent of an automation API and Jobs-as-Code. That is Control-M in the DevOps world. It opens up the tool to a traditional operations tool. Developers can jump right in there now, giving them that ownership, and integrating the existing DevOps tools that they have. That is a huge feature that I just love. 

There's an application integrator. It doesn't matter if you're trying to integrate with on-premises, off-premises, API, container, or serverless functions, it's easy for you to design. You just design that integration and then it's available instantly, and that's a huge time saver. 

It's rather easy to create, integrate and automate data pipelines with Control-M. I can give a broad answer. It can be as easy as drag and drop, or it can be as complex as designing the integrations. If you use customization, you can access a data lake that your organization developed. For the typical user out there, the difference is on a scale of one to five, with one being easy and five being hard, you're probably looking at a two and a half. For most people, it's very easy. It's getting easier as it's all web-based nowadays. Alternatively, it can be all code-based.

I have not explored Python Client too much. I've tinkered with it and that's been the limit of my exploration. Now, with the integrations like AWS, we've made extensive use of it, and it is very easy for anybody to do. Python Client has a lot of great possibilities, especially in the data science arena, however, sadly we have not had an opportunity as of yet to play with it.

The Control-M interface for creating, monitoring, and ensuring delivery of files as parts of your data pipeline has gotten better. It is not perfect. That said, it’s come a long way over the years. Nowadays, most of it is web-driven. A lot of it can be API driven if you so wish. There's still probably some future work to be done there, however, for the average user that's coming in, starting to use it for the first time, they're going to need a little training and handholding at the beginning for maybe the first week or so. Then you can start setting them free to go out and use it on their own.

The orchestration of our data pipelines and workflows has been able to give a single point of view too. Management doesn’t care about the bits and pieces. A workflow or a data pipeline could have 100 or 1,000 components behind it, and management does not care about that. Management cares whether the SLA has been met or not. They want that easy-to-see red light or green light. We can provide them with that. The solution drives self-service and it helps. A manager doesn't have to call somebody in IT and wait around for an answer.

They can immediately get that information for themselves, consume it and be able to understand that, "Hey, you know what, this data pipeline over here, we're going to be 15 minutes off our SLA for today." Then, they can start asking why. I like parts of Control-M like Batch SLA Impact, is they can start doing some of that analysis themselves, for example, “this late due to the fact that maybe the system was down for maintenance for two hours last night." That's really beneficial in today's business world.

The automation of Control-M has sped up everything. We can integrate directly into existing pipelines and the DevOps teams can get anything integrated with their Jenkins deployments. They don't have to wait for traditional operation functions. This is all built-in. It validates and checks. In some cases, it automatically deploys the agents and deploys the configurations. That's something that years ago you'd have to wait for. The speed of delivery has vastly improved.

Nowadays, auditing is as simple as running a report. If this falls under an auditable category, we can just hit a button and the report is done. Control-M audits everything, even if it is not under the regulatory or audit spotlight. Every process, every movement, and every change is logged by the system. If there's ever a question, you’ll be able to find a why and a when. There’s an audit trail.

It certainly helped speed processes up. I can eliminate what I call the manual gaps between certain features. I don't have to send an email to somebody to say, "Hey, guess what? That file's ready. Now you can run process X, Y, Z." The system just says "Hey, the file is there, let's go." It's eliminated those gaps between parts of the workflow. It also helped optimize the infrastructure needed as it's like a Tetris Puzzle. I have these ten different workflows that I'm trying to run and before I may have had ten dedicated systems for them. Now I know that I don't need that.

We use this model all the time. We can run those ten processes on three systems and be just fine. That saves money. The solution is not only speedy, but it also saves money.

They are doing a great job with continuing to drive the open-source model of it. Five years ago, if you looked for Control-M anywhere, you would not have found it. Today, that model has changed. They're actively publishing on GitHub.

You can download for free an entire container and run Control-M at home if you want to tinker with it. That was unheard of a few years ago. You can type a query in Google and start to see all sorts of documentation that is now available to the public. The major strides that they have made there are pretty darn good.

If you want to take it and ramp it up to doing some very heavy-duty integrations, you can find yourself at first dealing with a difficult integration. However, once you get that integration going for maybe a month or so, the next person after you will have less difficulty. That's the power. 

They can improve their interface. They're going through huge modernization efforts and they're getting there. They're probably 75% there, however, there's still another 25% to go.

I've been using the solution for 22 years.

Since it supports business, it has to be stable. It's very stable. We have not had major outages or anything. That's always a good thing, however, like with any solution, its stability is going to depend on how you deploy it and what safeguards you put in place, including high availability and disaster recovery, et cetera. All the hooks for that are in the product, however, it's up to you to decide how you're going to use those hooks.

It's highly scalable. You can run five things in it today and easily scale up to run 1,005 things tomorrow. In terms of scalability, there are no issues there.

Technical support tends to be very helpful.

Positive

I used to work for an insurance company and I used Computer Associates. It was called CA-7 and CA-11, which are similar tools.

We tried to use Computer Associates before this, but it didn't support the systems we needed and the integration was next to impossible.

I was involved in the deployment and initial setup of the solution right from the beginning.

We had jobs and workflows running within the first day. That was pretty good. We don't use the Helix model, however, there is a Helix model you can purchase, in which everything's hosted by BMC. You can be up and running literally in hours which is reasonable. There's a learning curve, however, if you do not get some value out of it within two days, you're probably doing something wrong.

At the time, there were only two of us deploying the solution. Today there are only three of us.

It's business-wide. Everything from data to marketing, to finance, even though it probably wouldn't make sense to anybody else, it touches everything. It's deployed across Windows, Linux, containers, VM, cloud, et cetera.

If anybody has a use case or wants to learn more about it, we'll show them. Anybody in our organization can get basic access and can tinker around in an alpha test environment. This includes non-technical people. We have non-IT people that use it.

If they can self-service and maybe design some parts themselves, that's a huge win right there. We have a very open model of deployment.

There are occasional patching and vulnerabilities that come out. Most of the patching nowadays can be automated if you're using the Helix-based solution. A lot of that is handled by BMC.

We did not use an integrator, reseller, or consultant for the deployment.

I can't speak to the exact licensing costs. 

Every few years we go through a reevaluation. We'll go through and look at what's on the market and what companies have come up with or released new versions. We'll go through and we'll say, "Okay, let's compare these, what do we need and what are all the tools offered out there?" We do that roughly every five years and it keeps us on our toes.

The biggest difference as of late is the API and Jobs-as-code. Control-M is light years ahead of others. It is light years ahead of the competitors and what they're offering. Other competitors are starting to get APIs, however, only BMC is working with Job-as-code and is in the lead. To my knowledge, they're really one of the only ones who can define your entire workflow as code.

Control-M is pretty critical to our business as it runs many different business processes every day, and if it wasn't there, we would probably hire many more people, be a lot slower, and be more prone to error.

We use a hybrid deployment. We have parts in the traditional data center. We have parts in the cloud. We sometimes have parts that live on containers. They only exist for two minutes. It is very much a hybrid mix of goodies with our deployment.

I'd advise potential new users to examine it today and not think about what it did ten years ago. Control-M is an old product. It has been around since we all used mainframes, however, just because something's been around for a long time, doesn't mean it's a piece of junk or doesn't work with modern technologies. It has adapted and grown with the times. Control-M did cloud-based work before many of us were even talking about the cloud. It's hard to get rid of negative perceptions sometimes, however, the best thing for people to do is to head out to the internet, look it up, and go out to GitHub.

If you have a technical team, send them out to GitHub. You can download everything in an image or in a container and try it yourself. It doesn't cost you a nickel. 

I'd rate the solution nine out of ten.

The biggest advice I can give is to try it out. Don't only believe what the PowerPoints tell you. There's no excuse that you can't have a deployment running clearly within hours. Be willing to think about how it can solve problems in new ways. Sometimes we try to find a new tool as we have a square problem and we get upset as all the tools we're looking at only have round solutions. Sometimes the reason that it only has round solutions is due to the fact that that's the proper way to solve the problem. You have got to be willing to break down whatever you're trying to do, whatever workflow you're trying to automate or integrate, and take it in pieces.

If all you want to do is save yourself a lot of money, use Cron, and use Windows Task Scheduler. However, if you want to take your business to the next level and start to get to the point where you can automate to remediate and audit, that's where tools like Control-M come into play.

We use the solution in Western Mutual Insurance Group's environment for the daily scheduling of around 11,000 jobs. Our number of end-users is in the hundreds, across 18 to 20 teams. We have three different physical locations as a company. Since COVID, we are a partially remote workforce as well, so we have multiple locations.

It's essential that the solution orchestrates our workflows. Regarding processes like file transfers and data workflows, we want one source for that. We want one area where we can check and see how things are progressing, and Control-M is invaluable. Everyone has access in our environment to Control-M, and we all use it heavily. We utilize a ton of plugins in our environment. We started the transition into servers and are seeing what our license allows in that area. We try to take advantage of everything we can.

We use Control-M to replace a lot of our manual logging of job data. It's been very valuable in terms of logs that can output alerts.

I just did an audit earlier this year, and it was a swift process using the product. It took me less than a few hours, and without the solution, it would potentially take a couple of days to a week.

We essentially have a nightly batch cycle. We process data overnight, so it's available for end-users during the day. Using manual execution, instead of Control-M, this nightly batch cycle would transition into a weekly or monthly batch cycle instead.

I recently took over as admin of Control-M about a year ago. Since then, the question has been how we can further utilize Control-M in our environment. We haven't yet found the limits of what Control-M can do. We're finding better ways to apply it every day. From the old days when we manually scheduled jobs to the current paradigm of using an automation tool. This made the process much more manageable.

We define Control-M internally as a "critical business application." I would say that if Control-M were not available, the impact would be catastrophic to our business.

The reporting is top-notch. I haven't found any other applications on the market that can replicate what Control-M offers. The alerting is very good, and I think their service monitoring is the best in the industry. 

The solution is a key part of our system and I have not seen any significant limitations with it. It's very reliable and performs as advertised.

We're just starting our data pipeline journey. Compared to other products in the market, I believe Control-M's is the easiest to use. Theirs came out ahead in terms of ease of use every time. I rate them very highly in that area. We're primarily an Azure corporation. We found that the solution's built-in integrations with Azure are straightforward to use.

We actively build out methods of alerting, for instance, when workflows in Control-M don't complete, as this impacts our end-users and our managers that support the teams attempting to provide data for the end-users. I think Control-M has a ton of built-in integrations that make alerting when that data is unavailable more visible to end-users. I think that's been very useful in our environment.

The stability could be improved. I ran into an issue with a recent Control-M patch. The environment would become unstable if security ports were scanned. This is an area they need to improve on, but ultimately it's a relatively small improvement.

We have been using the solution for around seven years. 

One patch had some issues, but the fix pack was very helpful. Other than that, we haven't had any stability issues with this product. So I'd rate it very highly.

The scalability is excellent, we're looking into options in Azure for scaling up and down in our environment, and Control-M has been essential in accommodating that.

Technical support would be a 10. They're always available. They've been very helpful with any questions I have. There are multiple means of contacting them, and they've always been responsive. The technical account partner, Jake, has been very helpful. The account rep, Chris, has also been very responsive.

Positive

Control-M in our environment predates my time. I believe the company first implemented the solution around 15 years ago.

The initial setup was before my time. We started off as a mainframe exclusive influence of Control-M, and then we transitioned to distributed servers from there. I am a team of one.

The solution's automation has improved our business service delivery speed. Our big push this year has been toil reduction and automation of manual tasks that ultimately take time away from our engineers. Control-M is factored into probably north of 80% of those reductions with its ability to automate tasks. So far this year, we're at about 4,000 hours of toil reduced. I would say Control-M has played a factor in 3000 of those hours.

I would rate this solution a ten out of ten. Control-M is critical to our business.

There are other solutions like Control-M out on the market, but in every recent market evaluation, Control-M has always come out on top. I think they are becoming more cloud-native as they progress with their Control-M Web Services. They're more reliable than the others on the market right now. 

I would advise anyone to start with a trial version of this product. I think they'll be very impressed with it. 

We don't use Python to a significant degree at all in our environment. We have been looking into that, but nothing solid yet. We don't use AWS but are looking to get into it in 2024.

We use Control-M to schedule jobs in it, to run critical business processes as batches. We also use it to transfer files from one location to the other. We use it for reporting and to monitor critical batches that are running in the business.

The best feature of Control-M is the UI, the user interface. It is very user-friendly, and it has ease of use for an end user. I appreciate the centralized monitoring capability of this application where with one glance, we can get all the information. We don't need to run here and there for getting the information. Its main feature, the Batch Impact Manager feature in Control-M, is the best by far to monitor all the critical batches in one place.

BMC could do better in the reporting capabilities of Control-M. Currently, what they have is very limited in reporting. We may have some work going in place in the reporting area so that they can give more customized reports for users.

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

Control-M is mostly stable. It doesn't require regular maintenance, unlike other applications. It's stable, and we don't face any regular issues with the application unless something breaks over the network or on the server level. At the application level, we have very few issues even from the past few years.

Control-M has the capability to integrate with many other applications, so it's really scalable in that area. It even has the application integrator facility to talk to any other application that has the REST capability. It's more scalable in that aspect.

We have reached out to BMC a lot of times. They are good, but this is an honest opinion, the service for Control-M has had a slight downfall in recent times. It used to be very good in the past few years, but now they have slightly degraded service in terms of delay in response and the way they ask questions. They are asking repetitive questions even though we've provided the information to them. That's what I felt based on my past few cases with them. Overall, they are good but not very good.

Positive

I have used another scheduling tool, Autosys, but not to an extreme extent. Compared to Autosys, Control-M is by far the best. Control-M's capabilities to integrate with other platforms, such as SAP, AWS, and various web services, make it stand out among competitors. Control-M excels in these integrations and offers superior functionality. Additionally, I appreciate the user interface of Control-M; it is one of the features I like the most about the application. It's truly well-designed and user-friendly.

It was already deployed before I joined the organization. Learning to use Control-M is very user-friendly, unlike other scheduling tools in the market. The setup is very easy. We have all the documentation and required support videos available on YouTube in the official channel of BMC Control-M. Following the guide, we can easily set up the application. For use, we have a huge knowledge base in their support central page where we can search for anything, and we can find the solution for most things. If something is not there, then we can reach out to their support by logging in a case with them, and we will get a response with all the details. The features are there with good names, not confusing the user about why the feature was there or what's the use of it. It's very easy to use, all in one.

In terms of maintenance, we are the administrator, and we manage the application.

I'm not involved in any sales discussions related to Control-M, but I'll give my general opinion. I heard that Control-M is a bit pricey compared to other competitors. Given its features and capabilities, I think that's justified.

My relationship with BMC regarding Control-M is more transformative. We usually talk to them about the cases. For product-related discussions, if they need some information or reports from our end, we were involved and were over the calls talking with them. For all the critical cases that we raised with them, we were on the call discussing all the technical aspects. It was all good. 

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

My company uses BMC Control-M to manage our applications from SAP and Informatica ETL.

I don't see any area where improvements are needed in the product since the tool has a lot of capabilities. One can opt for either a job-based license or a job execution-based license, which sometimes can be troublesome. If the job count exceeds a limit, you may need to procure additional licenses from BMC. I don't see any issue with the product's capability or functionality apart from the aforementioned issue where improvements are needed.

The price of the product is an area with certain shortcomings that stem from the expensive nature of the product and can be considered for improvement by BMC.

I have been using BMC Control-M for ten years. In my company, we use BMC Control-M Version 9.0.21. My company is a customer of BMC.

It is a stable solution. Stability-wise, I rate the solution an eight out of ten.

It is a highly scalable solution. Scalability-wise, I rate the solution a nine out of ten.

More than 300 users, consisting of batch operators, job schedulers, analysts, and administrators, use BMC Control-M in my company.

In my company, we use the solution daily.

I rate the technical support a nine out of ten.

Positive

I rate the product's initial setup a nine on a scale of one to ten, where one is difficult, and ten is easy.

The solution is deployed on an on-premises model.

The deployment process of BMC Control-M took less than an hour.

My company had an in-house team to take care of the product's deployment phase.

I rate the solution's price a nine on a scale of one to ten, where one is low or really affordable, and ten is high or really expensive. It is a really expensive tool.

I recommend the solution to those who plan to use it.

I rate the overall product an eight out of ten.

It is used for file transfer, both inbound and outbound, including B2B.

Dashboard and recovery are the features I found most valuable in the solution.

I think that in the latest version, they have already improved. We still have to work on the latest one since we are still installing it. So we have not completed the installation. Post that, I think we'll see what needs improvement.

We have some issues on the SAP side of BMC Control-M Managed File Transfer. When I talk about non-SAP and SAP sides, I think with large volumes, one needs to install multiple agents. So that is something which should not be there. But at times, it is recommended by BMC. So, there are some stability issues when it comes to SAP side. The aforementioned details can be considered for improvement.

I have been using BMC Control-M Managed File Transfer for ten years. They released the latest version two days ago, and we are going to upgrade it to the latest version.

Stability-wise, I rate the solution a nine out of ten.

It is a standard pre-requisite that if we grow, then we have to double your CPs and other stuff. So, scalability is not an issue.

Since we are using the enterprise version, there are maybe more than 100 users that are concurrently logged in to the application.

We have used BMC's technical support, and we found it to be great. BMC has very good knowledge articles and other stuff, so that is good.

The initial setup is simple. Last time, it took around one and a half or two and a half hours to get the whole installation and migration done. So, now it can be done in less than one hour. BMC provides an AMIGO plan, and we follow that for deployment.

We handle multiple customers. So, the staff needed for the deployment and maintenance really depends on the number of customers.

I would definitely recommend the solution to those planning to use it since it is good to use.

There are some stability issues when it comes to SAP side, and hence I rate the product a nine out of ten. However, considering the Non-SAP side, I rate the overall product a ten out of ten. So, an average rating of the overall solution would be nine out of ten.

Our primary use case for this solution is the data flow between our locations, between systems, and B2B data flow, which includes the data to the endpoints, the schemes and other lines. We deploy the solution on-premises.

For the IQ operation flow, we have to do a lot of planning with data resources and keeping the resources in front of the system. However, the solution has improved our organization by minimizing software dependency and managing data for our clients and regional schemes.

The file transfer, database, and integration features are the most valuable.

The solution can be improved by upgrading its features to compete with premium software in MFT. Additionally, Math and dollar features, along with product samples and VR functionalities, can be included in the next release.

We have been using the solution for approximately 15 years and are currently using version 20.200.

The solution is scalable. I rate it a nine out of ten.

The customer service and support team are very knowledgeable. I rate them a nine out of ten.

Positive

The initial setup is quite easy and depends on the speed of the background. So basically, if you're in the background, it's an eight out of ten.

We have seen a return on investment. The solution has saved us about 30% to 40% on additional investments in resources.

I rate the pricing a seven out of ten because there is room for improvement.

I rate the solution a nine out of ten. The solution is good, but its current functionalities can be upgraded. I recommend the solution to users considering it.

We are using the solution for maintaining the infrastructure jobs like database Genesys and NICE. All jobs have been integrated into a single frame and a BMC Control-M readme page. Basically, we create jobs and modify the jobs. We have to analyze if any jobs fail. We settle the issues so that the jobs are up to date and should run.

The solution can communicate with the cluster. It can redirect any alarms or failures, and we remediate those actions.

We create new job scenarios and workarounds. We have special access to incidents and monitor controller operations. 

The solution is good in terms of working with other products. The integration is useful. 

Once you understand the solution, the initial setup isn't too bad. 

The solution is stable. 

It's scalable. 

We need the updates to be able to maintain interoperability. We still want to be able to verify testing in production and the environment and want upgrades to go smoothly so as not to disrupt our applications. The more seamless it can be, the better remediation will go. 

We'd like it to be easier to maintain the administrative side. Transferring files should be easier. There are a lot of dependencies. We'd also like there to be less space consumption.

There's a bit of a learning curve for new users.

When we pull job applications, if we configure multiple tenants under multiple environments with a single frame while we are logging into the applications, it sometimes freezes and takes too much time. 

I've used the solution for about one year.

From what I have seen so far, it is stable and reliable. 

We do have frequent version upgrades and maintenance and therefore haven't seen many issues.

It's a scalable product. I'd rate it eight out of ten in the ability to scale. 

We have 11 people on our team and about four people who handle administration and maintenance tasks. We're in four regions: Australia, Singapore, India and New Zealand. In these regions, there are two configured clusters - one in Australia and one in New Zealand. 

We have an administrative team that has the privilege of raising technical support. We will do the Genesys part, however, for BMC, they run the people. They will take care of coordination with the vendor and the business unit.

We use a lot of different solutions, including Genesys, NICE, Control-M ESPL, WFM, and workforce management. All are interoperable.

The company has used this solution for about seven years, and I have only been around for one. I'm not sure why they first initiated usage.

The initial setup is easy once you have some experience. It can be somewhat difficult otherwise. 

We have four people that are able to handle maintenance tasks.  

Once our teams have tested and validated the scenarios are working fine, then they will move from Genesys into services. Once Genesys services have been integrated, Genesys engineers will come and will monitor everyday operations for Control-M. If they identify any files or any jobs that have instability, they'll look for a permanent fix.

We are mediators between the vendor and customers. 

We are using around version nine. I'm not sure of the exact version number. 

I'd rate the solution seven out of ten. I do need more time with the product. However, I haven't seen the product causing many issues. It's been sustainable, and we've liked having all operations in one single cluster.

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

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

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

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

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

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

There isn't a single feature that is most valuable, but if I had to choose one, it would be the rich ability it gave us for making customized scripts. That was probably the most unique feature set for our situation. We used Control-M's Python Client and cloud data service integrations with AWS and, as a feature, it was very customizable. It gave us a lot of flexibility for customizing whatever data maneuver we wanted to do within a pipeline.

The Python Client and cloud data service integrations have a rich set of features with flexibility. It did not require additional, crazy skills or experience to deal with it. It was a nice transition into enabling a data scientist to leverage existing skills to build those pipelines.

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

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

I would like to see them adopt more cloud. Most companies don't have a single cloud, meaning we have data sources that come from different cloud providers. That may have been solved already, but supporting Azure would be an improvement because companies tend not to have only AWS and GCP.

I used it for a couple of years.

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

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

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

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

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

Positive

We had DataStage from IBM and SSIS.

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

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

The pricing was competitive, from what I understand.

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

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

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