Control-M from BMC is a platform for integrating, automating, and orchestrating application and data workflows in production across complex hybrid technology ecosystems. It provides deep operational capabilities, delivering speed, scale, security, and governance.
Informatica’s Intelligent Cloud Services (IICS) platform is a solution for synchronizing and integrating cloud and on-premise applications. It offers prebuilt connectors and actions between applications and programs, allowing for data transformation within the program, as well as case-specific services.
In the past, I was a Partner at BMC Software, having contact with many national and international clients; knowing different ways of working in each of these clients that acquired Control-M or migrated from another WLA to BMC, I saw that it is the most adaptable to the different ways of working of each company. Today, I work as a BMC Software client as the administrator and see all the possibilities that can be done, having known many ways of exploiting Control-M in different companies. That is why I highly recommend Control-M as the best way to integrate, unify, and automate different applications, services, and products in one place.
Informatica Cloud is a great tool for use when data must be formatted consistently. Once configured, it is very robust and reliable. It is also well-suited for an organization without a robust IT staff to maintain a full server infrastructure. It offers a cost-effective approach to high-quality data integration for even the largest organizations. Organizations without staff experienced in data analytics may find it challenging to take advantage of the more complex results of this tool.
Control-M provides a single, centralized interface for monitoring and managing all batch processes in the organization. Nothing is hidden or left unattended in a timely manner.
The proper use of the BIM component has allowed the change of paradigm in the operation, adopting a proactive management instead of the typical reactive management in the event of production failures.
The use of Forecast and production simulations allows you to identify bottlenecks and focus first on managing those failures that have the greatest impact on production SLAs.
Control-M/Change Manager has arrived to shorten development cycles from requirements gathering to production testing. It has been a utility that monetizes the development of Jobs meshes.
The GUI is capable of efficiently handling more than 80,000 jobs per day. This is certainly a challenge in designing a good user experience. I don't know if there is a reasonable limit to this. One of my clients runs more than 80,000 Jobs daily and the GUI remains smooth all the time.
Job-As-Code is a DevOps accelerator that has just begun to be adopted. Its implementation will make workload management even more cost-effective.
Once the secure connection is established it’s quite easy to operate and create new jobs. The controls are simple, and we appreciate the fact there are not a lot of complex fine-tunings required. Navigation is also easy, and we enjoy the ability to open multiple tabs in the browser to work on multiple projects.
The monitoring functionality works well to help track the progress of the jobs, again, without too much complication. In a fast dev environment, speed is essential and we quickly seeing the status/progress of jobs as well as any errors if the jobs fail helps us maintain speed.
The web interface is a lot easier to interact with than the client/on-prem version. Putting much of the heavy lifting of interacting with the tool onto the shoulders of the browser makes it easier to keep multiple sessions open and get in/out quickly without having to VPN into the office.
Our batch and batch release mechanisms are now closely aligned with Control-M. We have invested significantly in the product and spent many man-hours developing the batch. We could migrate to slightly cheaper products but that would require projects with large overheads and Control-M is recognized as the most stable solution available. Moreover, BMC are actively developing it (which is not the case with schedulers from some other software providers) and are often the first with innovations and integrations with new platforms. Although Control-M is directly comparable with competing products, we now have substantial in-house Control-M knowledge and migration away from it would cause issues.
Since it is GUI-based, it is not hard to use, although all new programs have a learning curve. The color scheme is easy to use to find the status of different Batch jobs. The check-in and check-out feature of job definitions is easy to use and avoids problems with users trying to use the same resource at the same time.
He contactado varias veces con el soporte de BMC y ha sido bastante bueno, siempre han sabido darme una solución a lo que he pedido. Esta vez quiero hacer alguna nueva pregunta, pero no se si se me podrá contestar, ya que es algo que tal vez fuera de otro rango y no pertenezca a ellos.
I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.
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As HA we have depend on the external DB, why don't we have HA feasibility with embedded DB. As with external DB, there are performance issues and fine tuning the DB. As if its embedded DB, Control-M it self take care of the functionality.
Since IBM Workload Automation isn't compatible with all of our project's operating systems, we've decided to switch to using Control-C instead. Second, the provider provides top-notch customer service in the event of an emergency. Control-M is a lightweight program that places few demands on the server's resources.
First, the wizard is easy to use making the learning curve for simple ETL tasks nice. Second, since Informatica is mature there are a good variety of connectors available. Finally, we have driven some fairly complex ETL solutions using only the cloud.
Control-M provides an easy to use, visual approach to monitoring the existing production, determining status of service level agreements, timely notification of potential issues, and analytical tools for forecasting and running 'what if' scenarios.
For people who are motivated to learn, Control-M provides an intuitive approach with minimal learning curve.
