Apache JMeter and StresStimulus are competing tools in performance testing. StresStimulus seems to have the upper hand due to its comprehensive features and user-friendly experience, whereas JMeter is favored for flexibility and community support.
Features: Apache JMeter offers a rich plugin ecosystem and extensive protocol support, enabling high customization. It integrates into diverse testing environments and provides significant flexibility. StresStimulus provides intuitive scripting capabilities and detailed analytics, facilitating complex testing scenarios. It excels in delivering detailed insights and simplicity of use.
Ease of Deployment and Customer Service: StresStimulus provides a straightforward deployment process with responsive customer service, aiding quick issue resolution. Apache JMeter requires a more involved setup but benefits from extensive documentation and a robust community forum, offering ample support and resources.
Pricing and ROI: Apache JMeter, being open-source, incurs no initial setup cost, providing significant ROI over time through its features, but requires investment in skill development. StresStimulus, with a licensing fee, offers faster ROI due to less training and immediate access to advanced functions. JMeter is cost-effective but demands a higher initial learning investment, while StresStimulus balances cost with time-efficient performance gains.
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.”
StresStimulus is a load testing tool for websites, mobile and Enterprise apps. It determines the web performance and scalability of your application under the rigors of heavy traffic load. Hundreds or thousands of physical users are realistically emulated through on-premise load generators or in a cloud testing environment
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