We performed a comparison between Apache JMeter and Postman based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: When comparing Apache JMeter and Postman, it is evident that Postman is the more popular choice. While both have great features and both share good flexibility and stability ratings, users of Postman seem to find fewer things lacking with it and are generally more satisfied. A noticeable difference between the two
"It is open source as well as relatively extendable. It allows us to extend and add additional functionality and features. Its deployment is also very easy."
"This solution is very user-friendly, and allows for a lot of data capture when testing."
"The reports and analysis tools are very good. They are the solution's most valuable features."
"Due to process automation, I don't have to prepare reports, making it the perfect solution."
"The distributed load testing is very good with Apache JMeter."
"Apache JMeter is quite flexible."
"The solution has good transition controllers and distributed testing."
"I appreciate JMeter's simplicity and power for performance testing."
"The solution provides visibility for PDF reports without needing to install plugins."
"It is stable and reliable."
"In Postman, we have an option to directly import a call, make it a Postman collection, and execute it in a batch. This feature is very useful. It saves a lot of time. The manual effort is also reduced when we can just pick it in a Postman collection and then run and execute it to get the results."
"Simple to use and you can easily store your projects."
"Postman lets you create, manage, and validate a suite of tests. It has several features to help you organize your test suite. You can also automate stuff with a lot of validations and assertions. Postman supports GraphQL, and you can do various kinds of calls."
"The interface and the different types of API methods you can use are the most valuable aspects of this solution."
"The API testing features are valuable."
"No coding required."
"It has some proxy-based dependencies which require specific proxies to be set up or disabled, which causes problems."
"JMeter should be more stable. Every time there is a new release coming up, a lot of its older functionalities or the new functionalities that are brought in are not very well-documented. It should be documented properly, and there should be proper use cases."
"The stability could be a bit better."
"There could be improvements in terms of memory utilization. We are going to migrate away from JMeter in the near future."
"They can improve it a little bit in terms of distribution load testing. We struggled with it during the distribution. In terms of reporting, runtime monitoring is not currently included, and it should be included. They can also improve it on the reporting side in terms of the comparison of the reports. They can also focus more on integration with CI/CD. Currently, people are using their own customized tools. It would be nice if Apache can provide some standard tools and procedures for integration with CI/CD tools like DPR. There are some tools, but it would be nice if official standard tools and procedures are available."
"The memory utilization in JMeter is very poor."
"The solution needs to improve reporting. Currently, there is not enough automation involved with the feature. For example, there should be an automatic way of saving reports."
"The plug-ins make the reports heavy and they have to be run in non-GUI mode."
"I would like to see improvements in the maintenance of the scripts and their collections. It is really painful that the user cannot drag and drop. It was also painful to create the standard suite of operations for the product. I am not sure if this is improved in the tool’s latest versions. The maintenance of the complex scenarios prompted us to use the solution only for unit testing. In the future, we may switch to the k6 framework."
"I would like that if you click on one of the fields you should be able to see the entire row of fields, names, and values."
"Version management could be simplified."
"The solution could be more user-friendly."
"We do the implementation of Postman and give support. We had to use two engineers for the implementation, one senior and one junior for the process."
"We have previously used Tosca which allowed us to verify information using authentications. It would be useful if this was also possible using Postman. In a future release, Postman should connect to DB."
"Postman does not have a check-in balance. Essentially what I mean by that is if there is something that is already configured on a particular device, it just overrides it without checking whether you really want to override it or not."
"They should provide more specific documentation on configuration."
Apache JMeter is ranked 3rd in API Testing Tools with 82 reviews while Postman is ranked 1st in API Testing Tools with 52 reviews. Apache JMeter is rated 7.8, while Postman is rated 8.2. The top reviewer of Apache JMeter writes "It's a free tool with a vast knowledge base, but the reporting is lackluster, and it has a steep learning curve". On the other hand, the top reviewer of Postman writes "Reliable and easy to expand with a helpful API network". Apache JMeter is most compared with BlazeMeter, Tricentis NeoLoad, Katalon Studio, OpenText LoadRunner Professional and ReadyAPI, whereas Postman is most compared with ReadyAPI Test, Tricentis Tosca, Katalon Studio, Apigee and Parasoft SOAtest. See our Apache JMeter vs. Postman report.
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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.