Postman lets you easily define variables, which then get updated automatically. This is a huge time-saver and makes processes very efficient. We can also export the test cases we create and share them with our teams. Offering great collaboration code testing options and project storage, Postman is also possibly the best solution for testing REST APIs.
Developing environment compatibility could be better, though. When testing web services, there are some shortcomings; a visual component would be a great addition. There also should be better flexibility testing SOAP APIs.
Apache JMeter, which is open-source and has a free option, offers great performance. We like the scripting ability the most: once you have a good set of tests, you have a scripted document you can execute in a pipeline. Apache JMeter integrates well with other solutions.
The reporting could be better, though. Many of the reports are not concise enough and can be difficult to understand. There should also be a better way of saving reports. We also felt the installation could be simplified. Overall, the interface could be made more user-friendly.
Conclusion:
These solutions both perform many of the same functions and do them very well.
We ultimately chose Postman because we felt they offer better collaborative options and that the solution is more user-friendly over all. (You don’t have to be a tech genius to use it.) The UX is very fresh and easy to understand. Postman’s reporting process is simple to manage and easily shared. The solution scales easily and is very reliable and stable.
Sr. QA Automation Specialist at Department of Transportation NYC
Real User
2021-10-21T21:32:03Z
Oct 21, 2021
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.
I.T. Architect, Analyst, Developer at a educational organization with 51-200 employees
Real User
2021-10-21T13:06:29Z
Oct 21, 2021
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)?
Apache JMeter and Postman Enterprise are prominent tools in the load and API testing category. Apache JMeter offers powerful capabilities for those with coding expertise, while Postman is intuitive for API-focused users.Features: Apache JMeter is a robust open-source tool known for load and performance testing across API, database, and MQ testing. It supports a vast range of plugins, enhancing customization, scalability, and versatility across testing environments. Its lightweight design is...
Postman lets you easily define variables, which then get updated automatically. This is a huge time-saver and makes processes very efficient. We can also export the test cases we create and share them with our teams. Offering great collaboration code testing options and project storage, Postman is also possibly the best solution for testing REST APIs.
Developing environment compatibility could be better, though. When testing web services, there are some shortcomings; a visual component would be a great addition. There also should be better flexibility testing SOAP APIs.
Apache JMeter, which is open-source and has a free option, offers great performance. We like the scripting ability the most: once you have a good set of tests, you have a scripted document you can execute in a pipeline. Apache JMeter integrates well with other solutions.
The reporting could be better, though. Many of the reports are not concise enough and can be difficult to understand. There should also be a better way of saving reports. We also felt the installation could be simplified. Overall, the interface could be made more user-friendly.
Conclusion:
These solutions both perform many of the same functions and do them very well.
We ultimately chose Postman because we felt they offer better collaborative options and that the solution is more user-friendly over all. (You don’t have to be a tech genius to use it.) The UX is very fresh and easy to understand. Postman’s reporting process is simple to manage and easily shared. The solution scales easily and is very reliable and stable.
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.
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)?