Jmeter vs SOAtest?

Blazemeter is a continuous testing platform that provides scriptless test automation. It unifies functional and performance testing, enabling users to monitor and test public and private APIs. We evaluated BlazeMeter to load testing applications - mostly core business applications and customer-facing. One of the best features was the GUI because it allows you to load scripts. It is easy to use and requires no special expertise. It also integrates smoothly into our CICD pipeline. What we liked most about BlazeMeter was that it helps identify performance issues that may be introduced via new functionalities. Compatibility with Apache JMeter is also a big advantage. If you already have Apache JMeter, the BlazeMeter can complement functionality gaps. Regarding price, BlazeMeter is affordable. The Chrome extension usability is somewhat poor, and the script creations feature could be improved. Another feature that needs improvement is the multi-protocol support for desktop-based apps. We also evaluated the Apache JMeter tool for load and performance testing. It is a simple, easy-to-use tool for evaluating the performance and load of applications. It runs on web apps and APIs. We could use it to assess websites’ performance and conduct stress testing. Our user experience overall was very poor. The interface is outdated, and it is not easy to use or install. There are no HTML reports for performance tests. You can’t record the test scenario more than once, and you cannot edit them either. It is not beginner-friendly and requires a lot of programming expertise for more complex text scenarios. Conclusions Overall, Blaze Meter is more advanced than Apache JMeter. It provides a better user experience and usability. However, Apache JMeter can be a good option if you need a versatile tool to test web services without a desktop.

Which is better; there be dragons. They each have strengths and weaknesses, but neither is globally better than the other. One should ask what your testing strategy will require. Collaboration, simple testing with scriptable tests, and strong UX with minimal know-how Postman will excel. Additionally, it allows for mock servers based upon open API specifications for testing code. I find JMeter a better fit for complexity, strong scripting, CICD inclusion, simple end-point, total load, and performance testing, allowing test re-use. Keep in mind, both tools can perform all of the above operations. Can you provide some additional insight into your specific use case(s)?

Postman is for API verification. It can be used for inspections of API as well.   JMeter is mainly used for performance tests - such as a load or stress test. Both tools have different perspectives, however API calls can be intersected between them.