Find out what your peers are saying about Apache, Tricentis, OpenText and others in Performance Testing Tools.
The support for Apache JMeter is excellent.
Apache JMeter relies more on community support.
Sometimes, the documentation is not readable, being too long or too detailed and not connected to my problem.
JMeter is highly scalable, easily handling increased loads through the use of multiple servers.
This restricts the number of users and necessitates increasing load agents or distributing the script across multiple machines.
Without location dependency, it's rated ten out of ten, but with dependency, it can be six out of ten.
JMeter performs exceptionally well, especially in non-GUI mode, which supports high loads efficiently.
Several necessary features still need improvements, specifically in terms of reports and additional functionalities compared to other commercial tools.
Enabling the conversion of scripts from commercial tools like LoadRunner or NeoLoad into JMeter scripts would also be advantageous.
Currently, we need to use multiple separate JMeter instances to simulate reductions in load, which isn't ideal.
With BlazeMeter, you can view the results in real-time.
Sometimes, the library version is not compatible with other libraries, causing errors in my application.
The Git extensions are very basic and can be more extensive compared to other software focused on Git, like GitTower or SmartGit.
Using JMeter helps us avoid additional costs for high-load testing since it is open-source and allows for unlimited virtual users at no extra cost.
It's a cost-effective solution.
Apache JMeter is completely free as it is open-source.
The price is expensive.
Monetary benefits with Apache JMeter are notable since it doesn’t require a licensed version.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
Despite being open source, it offers features comparable to paid tools.
It supports cross-platform functionality.
Apache JMeter is an open-source Java application that tests load and functional behavior and performance in applications. Created initially to test web applications, it has expanded its functionality to test other functions. For instance, you can test a server to see how efficiently it works and how many user requests can be handled simultaneously.
You can use JMeter to test functional performance and regression tests on different technologies. This Java desktop application has an easy-to-use graphical interface which uses the Swing graphical API. You can run JMeter on any environment that accepts a Java virtual machine, such as Windows, Linux, and Mac.
What protocols does JMeter support?
How does JMeter work?
JMeter sends requests to a target server by simulating a group of user requests. Then it collects and calculates statistics on the performance of the target. This target can be a server or an application.
You can test the performance of static resources, such as JavaScript or HTML, and dynamic resources, such as JSP, Servlets, and AJAX. It is also helpful to determine how many concurrent users your website can handle.
There are two main tests you can carry out with JMeter: load test and stress test. The load test models expected usage of a server by simulating multiple users accessing the web server simultaneously. The stress testing aims to find the maximum load capacity of the server or application.
Apache JMeter Key Features
Apache JMeter Benefits
The JMeter extensible core has numerous benefits:
Reviews from Real Users
Stephen B., I.T. Architect, Analyst, and Developer at an educational organization, says, "The scripting ability is most valuable. It is easy to use. There is a UI, and you can go in there and figure those things out. After you've got a good set of tests, you basically have a scripted document that you can grab and execute in a pipeline. It is pretty quick to set up, and you can scale it and version control it."
"I like the fact that JMeter integrates well with other tools," adds the Founder and Principal Consultant at a tech services company.
A Quality Engineering Delivery Leader at a financial services firm says, “The performance of the solution is excellent. They have designed the product so that it is very easy to configure. You can basically do anything you like with the product. It's not very restrictive. We like the fact that the technology is open-source.”
We monitor all Performance Testing Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
