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
"Due to process automation, I don't have to prepare reports, making it the perfect solution."
"The most valuable feature of Apache JMeter is its popularity. It is the best open-source tool with all the features needed."
"I use all the tools, but one feature that stands out is JMeter's ability to test when services are sending a particular kind of request. We are using specific ports to send queries, and assess the performance based on the time it takes these queries to respond. You can use it with stuff other than the web performance."
"Very user-friendly and easy to use."
"We find the ease of use and the reports and graphs available valuable."
"The new version of the solution is stable."
"I appreciate JMeter's simplicity and power for performance testing."
"The most valuable feature in JMeter is the Thread Group, which helps us to see whether the performance is good."
"It's easy to see different versions of responses."
"The solution provides visibility for PDF reports without needing to install plugins."
"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."
"Simple to use and you can easily store your projects."
"It helps me to test APIs independently. It also supports hosting."
"It is a scalable solution."
"The initial setup is simple."
"Postman is useful for API testing."
"The solution needs more metrics for reporting."
"We would like some reporting and analysis tools to be added to this solution."
"The memory utilization in JMeter is very poor."
"In this tool, automation in general is almost non-existent. Everything is done manually."
"The reporting is not very good."
"It's not easy to get the data from one place or to do customizations."
"Apache JMeter may have difficulty recognizing dynamic objects in some critical cases, which can lead to challenges in terms of object identification."
"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."
"Postman quality assurance could improve when doing tests."
"One area that could be better is collection management."
"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."
"The performance needs to be improved."
"If they could implement auto-validations and assertions from SoapUI, that would be a very good feature."
"It should be able to check the records and compare them to the regression testing more on the automation side."
"I have recently noticed that, for some reason, I am not able to import collections in JSON. It is weird because I was able to do it before. When you create a new collection and documentation, in tests, you usually have to click Save. If you don't click Save, your collections don't sync with other devices, which is something I don't like. It is not clear for the users in a shared workspace, and I usually forget to click Save and end up losing all the collections that I created. I create a lot of routes, and clicking Save all the time isn't efficient. Instead of clicking Save all the time, there should be an option to save everything in one go."
"I was not even aware that it was possible to automate tasks in Postman...Some features related to the automation of tasks need to be added to the solution."
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.