BMC AMI Data for Db2 and IMS simplifies mainframe data management with automation, performance optimization, and resilient recovery. It accelerates query execution and ensures compliance with regulations like DORA. By integrating with DevOps, it helps organizations maintain continuous availability.
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PyCharm
Score 9.2 out of 10
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PyCharm is an extensive Integrated
Development Environment (IDE) for Python developers. Its
arsenal includes intelligent code completion, error detection, and rapid
problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable
code by offering PEP8 checks, testing assistance, intelligent refactorings, and
inspections. Moreover, it caters to web development frameworks like Django and
Flask by providing framework…
BMC AMI Cloud Vault provides immutable cloud storage, allowing businesses to create secure, unchangeable copies of critical data for rapid recovery in the event of ransomware. >For organizations looking to move away from expensive Virtual Tape Libraries (VTL) or on-premises storage, BMC AMI Cloud Data is well-suited, as it supports backing up or archiving mainframe data directly to cloud object storage (e.g., AWS).
PyCharm is well suited to developing and deploying Python applications in the cloud using Kubernetes or serverless pipelines. The integration with GitLab is great; merges and rebates are easily done and help the developer move quickly. The search engine that allows you to search inside your code is also great. It is less appropriate for other languages.
Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
My overall experience with BMC AMI data has been great so far because after installing this software in our business now we are able to work on long term projects and business expansions. The software has made sure that our team work more on analysis and strategic data management that's why I would like to give it 9 out of 10
It's pretty easy to use, but if it's your first time using it, you need time to adapt. Nevertheless, it has a lot of options, and everything is pretty easy to find. The console has a lot of advantages and lets you accelerate your development from the first day.
I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
See all of the software have different attributes and working process they gives the different analytical results so I will not compare them directly to BMC AMI Data but I would say they all are pioneers platform at their own level.
When it comes to development and debugging PyCharm is better than Spyder as it provides good debugging support and top-quality code completion suggestions. Compared to Jupiter notebook it's easy to install required packages in PyCharm, also PyChram is a good option when we want to write production-grade code because it provides required suggestions.
By shifting to AIOps-powered monitoring, customers halved unplanned mainframe outages, resulting in $1.4 million in retained profit over three years=50% Reduction in Unplanned Downtime.
BMC AMI data solutions delivered a 217% ROI, with payback in under six months, enabling teams to deliver 3x more code to production.
BMC AMI Data for Db2 users achieved a 6% reduction in MIPS consumption and realized significant cost savings by retiring outdated, non-automated systems.
The ability to perform database reorganizations with zero downtime ensures critical business applications remain available, protecting revenue streams and customer experience.
