Find out what your peers are saying about Apache, Perforce, Tricentis and others in Performance Testing Tools.
With Apache JMeter, I have gained great statistics for performance and server metrics.
With AI models ChatGPT, troubleshooting issues has become very easy for us.
The support for Apache JMeter is excellent.
Apache JMeter has strong support through its vast Java-based community on platforms like Stack Overflow.
The customer service is not available 24/7, which affects its rating.
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.
For backend automation and performance testing with web services, web APIs, and queue management systems, I would rate Apache JMeter's scalability as between eight and nine.
BlazeMeter has the capability to simulate a higher number of users compared to JMeter standalone.
BlazeMeter is quite scalable, and I rate its scalability as nine 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.
Previous versions of Apache JMeter were a little unstable, but the new versions are very stable.
I would rate the stability of BlazeMeter as eight out of ten, indicating that it is a stable and reliable solution.
With AI becoming more prominent, they can implement features where it can generate code by itself based on the results or provide suggestions.
Currently, we need to use multiple separate JMeter instances to simulate reductions in load, which isn't ideal.
The tool needs improvements related to client-side metrics, integrating with tools like YSlow or HTTP Watch, and enhancing mobile testing capabilities.
The licensing cost is also a concern since BlazeMeter is not free like JMeter, which limits its use.
The extra CSV random dataset plugin could be integrated with a simple checkbox in the existing CSV dataset plugin to read files randomly.
Sometimes, the library version is not compatible with other libraries, causing errors in my application.
The product needs contextual help integrated within its interface.
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.
BlazeMeter requires licensing, which means it is not free like JMeter, adding to the setup cost considerations.
The price is expensive.
JMeter facilitates scripting capabilities, which include options for Groovy scripts.
It's useful for both the person conducting the test and the higher management, like project managers or senior executives, who may not know about the test.
Despite being open source, it offers features comparable to paid tools.
BlazeMeter offers a higher limit on load simulation compared to standalone JMeter.
BlazeMeter integrates with JMeter via multiple plugins, which streamlines performance testing, test monitoring, and report sharing.
It supports cross-platform functionality.
Visual Studio Test Professional is highly valuable because it provides extensive extensions and plugins that assist in measuring code quality.
| Product | Market Share (%) |
|---|---|
| Apache JMeter | 16.4% |
| Tricentis NeoLoad | 13.8% |
| OpenText Professional Performance Engineering (LoadRunner Professional) | 13.7% |
| Other | 56.1% |
| Product | Market Share (%) |
|---|---|
| BlazeMeter | 9.0% |
| Apache JMeter | 16.4% |
| Tricentis NeoLoad | 13.8% |
| Other | 60.8% |
| Product | Market Share (%) |
|---|---|
| Visual Studio Test Professional | 0.9% |
| Tricentis Tosca | 18.5% |
| BrowserStack | 10.2% |
| Other | 70.4% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 24 |
| Large Enterprise | 55 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 9 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 14 |
| Large Enterprise | 23 |
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.”
BlazeMeter ensures delivery of high-performance software by enabling DevOps teams to quickly and easily run open-source-based performance tests against any mobile app, website or API at massive scale to validate performance at every stage of software delivery.
The rapidly growing BlazeMeter community has more than 100,000 developers and includes prominent global brands such as Adobe, Atlassian, Gap, NBC Universal, Pfizer and Walmart as customers. Founded in 2011, the company is headquartered in Palo Alto, Calif., with its research and development in Tel Aviv.
