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.
$29,000
per year
SonarQube
Score 8.2 out of 10
N/A
SonarQube is an automated code review solution, serving as the verification layer for code quality and SDLC security. SonarQube is used to ensure that code is secure, reliable, and maintainable. It is available through SaaS or self-managed deployment.
Anytime you have a process that has to do multiple things, transfer data, interact with other systems, Control-M is critical. Not only does it provide the insight to what is going on, but it also lets you keep tight audit controls over access, reduces the need to spend large amounts of time tracking down issues, reduces the need to write custom "code" to do integrations with other systems and helps you better manage and track critical SLAs for workflows across the business.
SonarQube is excellent if you start using it at the beginning when developing a new system, in this situation you will be able to fix things before they become spread and expensive to correct. It’s a bit less suitable to use on existing code with bad design as it’s usually too expensive to fix everything and only allows you to ensure the situation doesn’t get worse.
The good thing is that there are so many connectors available. Control-M provides lots of features, and we are using almost 60 to 70% of them. Control-M is providing us with so much capability to use during our daily problem-solving.
Most of the job creation is very simple and quick and worked as per expectations.
Testing and debugging are also very easy, and you can test multiple scenarios using temporary changes during job runs.
Log and output presentations are also very good, short and detailed.
To monitor specific job net, we can create viewpoint, which can be use on daily basis.
Detecting bugs and vulnerabilities: SonarQube can identify a wide range of bugs and vulnerabilities in code, such as null pointer exceptions, SQL injection, and cross-site scripting (XSS) attacks. It uses static analysis to analyze the code and identify potential issues, and it can also integrate with dynamic analysis tools to provide even more detailed analysis.
Measuring code quality: SonarQube can measure a wide range of code quality metrics, such as cyclomatic complexity, duplicated code, and code coverage. This can help teams understand the quality of their code and identify areas that need improvement.
Providing actionable insights: SonarQube provides detailed information about issues in the code, including the file and line number where the issue occurs and the severity of the issue. This makes it easy for developers to understand and address issues in the code.
Integrating with other tools: SonarQube can be integrated with a wide range of development tools and programming languages, such as Git, Maven, and Java. This allows teams to use SonarQube in their existing development workflow and take advantage of its powerful code analysis capabilities.
Managing technical debt: SonarQube provides metrics and insights on the technical debt on the codebase, enabling teams to better prioritize issues to improve the quality of the code.
Compliance with coding standards: SonarQube can check the code against industry standards like OWASP, CWE and more, making sure the code is compliant with security and coding standards.
I haven't come across too many spots where I'm not happy with the product. Most of the shortfalls were in my knowledge of the product as opposed to the actual product. Currently we're having a little bit of an issue with the deployment of the software to the servers, but it's more of an "us" problem than a product problem. I can't really give any good examples of shortfalls of the product that I've found so far.
Importing a new custom quality profile on SonarQube is a bit tricky, it can be made easier
Every second time when we want to rerun the server, we have to restart the whole system, otherwise, the server stops and closes automatically
When we generate a new report a second time and try to access the report, it shows details of the old report only and takes a lot of time to get updated with the details of the new and fresh report generated
It is one of the best solutions on the market, in terms of innovation, reliability and stability. Control-M provides security when used by the largest companies in Mexico such as banks, department stores and logistics. It has proven to be able to integrate with new technologies on the market and provide almost 100% availability, thanks to its automatic FailOver scheme.
User experience is meeting my expectations. We had a manual checklist, which Control-M Reports has now replaced, that helped us check the jobs without any issues. So, being fair with the work, the ratings should also be fair. More to come as the AI progresses; this will not only help motivate the Control-M Developers but also lead to the development of advanced technology.
Secondary Instances: Control-M supports the installation of a secondary instance of the entire Control-M environment, Control-M/EM, or Control-M/Server.Automatic & Manual Failover: In case of a failure on the primary host, Control-M can automatically failover to the secondary host if using Oracle or MSSQL databases. Manual failover is also an option, enabling a controlled switch during planned maintenance.Fallback: After resolving the issue on the primary host, you can easily fall back to it, or even designate the secondary host as the new primary. Database Replication: For high availability, Control-M leverages database replication from the primary site to a disaster recovery site. While replication is essential, its implementation and maintenance are the user's responsibility.
good page load times, efficient report completion, and minimal impact on integrated systems. Specifically, the well-designed GUI contributes to a positive user experience, and the platform's ability to automate various stages of the workflow, including Big Data processes, is highlighted as a key strength. Fast Page Loads: Control-M is reported to have a responsive user interface with fast page load times, allowing users to quickly navigate and manage their workflows
Support is generally excellent. Getting lower priority ones resolved can take a while, but it's rare for something to have to be dumped in the "unfixable" bin. If you end up speaking to Houston or Tel Aviv, then you know you've got a "live one".
We we easily able to integrate the SonarQube steps into our TFS process via the Microsoft Marektplace, we didn't have the need to call SonarQube support. We've used their online documentation and community forum if we ran into any issues.
Very knowledgeable instructors provide a hands-on, collaborative learning experience and can interact directly with instructors to develop our Control-M skills. This format allows for immediate feedback, in-depth discussions, and tailored guidance, leading to a deeper understanding of Control-M concepts and practical application. Face-to-face interaction fosters higher engagement and a more dynamic learning environment.
Simple and easy to use web based, well paced. Available any time. All online courses are simple and easy to access and use. Very practical everyday use scenarios and solutions. Incorporates software simulations, learning games, and built-in assessments to enhance comprehension and engagement. Online subscriptions are regularly updated with the latest product information, ensuring users have access to the most current knowledge.
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.
Control-M: Known for its comprehensive workload automation capabilities, handling complex job scheduling, dependency management, and IT process automation. TWS: Traditionally strong in Batch processing and job scheduling, focusing on high-performance computing environments. TIDEL: Offers a combination of workload automation and IT process management, often used in mainframe environments.AutoSys: Provides job scheduling and workflow management with a reputation for scalability and performance.
SonarQube is an open-source. It's a scalable product. The costs for this application, for the kind of job it does, are pretty descent. Pipeline scan is more secured in SonarQube. Its a very good tool and its support multiple languages. Its main core competency is of static code analysis and that is why SonarQube exists and it does it exceedingly well. The quality of scan on code convention, best practices, coding standards, unit test coverage etc makes them one of the best competent tool in the market
While Control-M offers flexibility with usage-based and subscription-based pricing, some users might prefer more predictable, upfront costs, especially for large-scale deployments. A potential area for improvement could be offering more options for fixed-term contracts with predictable pricing based on factors like the number of agents or jobs, providing a clearer budget for long-term planning
awesome product.Control-M delivers advanced operational capabilities easily consumed by Dev, Ops, data teams, and lines of business.Control-M Workflow InsightsApplication and data workflow observability: Increased confidence that SLAs are being met for Control-M users and IT leadersComprehensive control and management capabilities: Enhanced dashboards and reporting with constant telemetry and intelligent analysis on executing workflowsSelf-service visibility: In-depth reporting to help teams work autonomously
Strengths: The vendor provided strong post-sales support, timely issue resolution, and effective onboarding. Their technical team was knowledgeable and responsive, ensuring smooth integration and minimal disruption. Training resources and documentation were comprehensive. Areas for Improvement: While overall service was excellent, occasional delays in advanced customization or escalations slightly impacted timelines. More proactive optimization suggestions could further enhance value.
Since centralizing all our workflows in Control-M, we've cut end to end processing time by nearly 30%
Before Control-M we were babysitting scripts, manually rerunning failed jobs, and chasing ghost errors. With automated recovery, smart notifications, and fewer failures slipping through the cracks, we have saved 3 hours a day across teams
Our workflows success rate sits at 99.95% and when things do fail, they are pinpointed immediately
Positive ROI from the standpoint of flagging several issues that would have otherwise likely been unaddressed and caused more time to be spent closer to launch
Slightly positive ROI from time-saving perspective (it's an automated check which is nice, but depending on the issues it finds, can take developers time to investigate and resolve)
