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
"The solution's initial setup is easy."
"The solution offers a lot of plug-ins and a huge continuously developing community that is regularly offering new features and plug-ins."
"The most valuable feature in JMeter is the Thread Group, which helps us to see whether the performance is good."
"JMeter is basically the art of the entire performance testing process."
"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."
"The solution is free. You don't need to worry about licensing costs."
"JMeter lets us generate virtual users and T-load, per our requirements. It's easy to configure and adjusting the virtual users according to the DPS we want to achieve."
"What is most valuable for me is that we can create and share collections between the team members."
"The most valuable feature is that JavaScript can be included as tests."
"The initial setup of this solution is straightforward. Postman can be used as an extension in Google Chrome for those who do not wish to install it directly. Deployment took an hour and a half."
"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 variables part is good. We can easily define the variables and we don't have to manually do a change every time, it gets automatically updated."
"It is stable and does not lag."
"Postman allows you to incorporate and export the test cases we create. It enables me to share the test cases with my colleagues, so I don't have to copy them into an Excel sheet. Postman lets me export the dataset and share it with my team. They can use my test case for their testing."
"I like that it is very easy to use. I also like the automation feature."
"The reporting section of the solution can be better."
"The UI could be better."
"I sometimes found the documentation to be not as explanatory as I would've liked it. In the cases that I can think of, I was looking for a rather hand-holding approach with Step A, B, and C, but then I realized that with a product that is open source like this, you can't do handholding. That is because there are so many different uses and different unique environments and setups for it, but I remember thinking a few times that if they only just said this."
"We would like some reporting and analysis tools to be added to this solution."
"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."
"What needs improvement in Apache JMeter is the very high load requirements when you want to scale it beyond certain thresholds. For example, small to mid-range testing is very easily done with Apache JMeter, but if you scale and increase the load, then it would be a problem because the tool consumes a lot of resources, probably because Apache JMeter provides an enriched UI experience, so it consumes a lot of memory and requires high CPU usage. This means you have to manage your infrastructure, or else you'll have high overhead expenses. As Apache JMeter is a heavyweight tool, that is an area for improvement, though I'm unsure if Apache can do something about it because it could be a result of the way it's architected. What I'd like to see from Apache JMeter in the future is for it to transition to the cloud, as a lot of cloud technologies emerge around the globe, and a lot of people prefer cloud-based solutions or cloud-native tools. Even if a company has a legacy system, it's still possible to transition to the cloud. I've worked with a company that was an on-premise company that moved to the cloud and became cloud-native. If Apache JMeter could transition to the cloud, similar to k6, then it could help lessen the intense resource consumption that's currently happening in Apache JMeter."
"JMeter output reports can be difficult to understand without training."
"It's not easy to get the data from one place or to do customizations."
"Integration of the solution towards Bitbucket, BitHub, and CI pipelines is difficult."
"I would like to have a code snippet where I can write a code and for the responses of the endpoints to be validated using my custom business conditions."
"An area that needs some improvement would be to allow multiple windows with different collections to be open at the same time."
"Could be more user friendly."
"The request encryption could be one thing on which they can work a little bit. If we don't want to expose our production data but we still want to test our APIs on the production data, there should be a way to do that. It is not only with Postman. I think no tool in the market is doing that right now."
"The reporting could be better. It should give you a detailed PDF report after you run a test."
"Reporting can be better. If you have bigger APIs, it takes time."
"Version management could be simplified."
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.