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JMeter has become a go-to tool for organizations across various industries, offering a range of use cases. Users have found JMeter to be …
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What is JMeter?
JMeter, from Apache, is a load and performance testing tool.
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Popular Features
- End to end performance management (21)9.090%
- Real time monitoring (21)8.888%
- Integrated performance data (22)8.787%
- Deployment model flexibility (21)6.767%
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What is Tricentis NeoLoad?
Tricentis NeoLoad is a solution for continuous performance testing software to automate API and application load testing. It was developed by the French company Neotys and acquired by Tricentis, along with the company, in March 2021.
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What is JMeter?
JMeter Technical Details
| Operating Systems | Unspecified |
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| Mobile Application | No |
Frequently Asked Questions
JMeter, from Apache, is a load and performance testing tool.
Reviewers rate End to end performance management highest, with a score of 9.
The most common users of JMeter are from Mid-sized Companies (51-1,000 employees).
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JMeter has become a go-to tool for organizations across various industries, offering a range of use cases. Users have found JMeter to be versatile in addressing different testing needs, including unit testing, functional testing, performance testing, load testing, and stress testing. With its ability to identify memory leaks, database connection issues, and virtual server problems, JMeter has proven invaluable in troubleshooting and optimization efforts.
The tool has played a crucial role in performance and load testing, allowing users to thoroughly review test cases and use cases. By leveraging JMeter's capabilities, users have been able to pinpoint shortcomings in virtual server setups and uncover web service breakdowns. Many organizations rely on JMeter annually before holiday peaks to assess site and system performance, fix any issues that may arise, and detect regressions in performance.
JMeter's popularity as a load testing tool stems from its ease of use, cost-saving benefits as an open-source tool, and overall usefulness. Users take advantage of JMeter's capability to generate HTTP requests for simulating browser activity and making back-end REST API calls. It has also been instrumental in testing Java web applications and analyzing response time and throughput.
Moreover, JMeter helps estimate application sustainability under high load and determine resource requirements based on specific client needs. Users depend on JMeter to build load profiles, measure web application response times accurately, and monitor system performance effectively.
In the banking and finance sector specifically, JMeter finds extensive usage for performance testing to ensure rich transaction performance. It assists in identifying bottlenecks and simulating different user loads to test web applications under various patterns. Additionally, organizations also rely on JMeter to execute performance tests on web services and assure that any changes made do not adversely affect their overall performance.
As cloud-based applications gain prominence, JMeter is emerging as the standard tool for testing such applications within organizations. Its open-source nature, ease of use, and cost-effectiveness make it a preferred choice, replacing legacy tools like Silk Performer. JMeter is frequently employed to test the functionality and performance of web APIs, assess website performance, and conduct load and stress testing.
The versatility of JMeter extends beyond web applications; it is widely used to test the scalability, reliability, and responsiveness of both mobile and desktop applications. Users have successfully utilized JMeter to address response time issues and improve overall performance metrics for client products.
Overall, organizations are increasingly adopting JMeter due to its ease of use, cost-saving benefits as an open-source tool, and its ability to construct tests quickly. The tool has gained popularity in organizations across various domains, including banking, finance, e-commerce, and software development.
One of the key use cases for JMeter is load testing restful web services. Users rely on JMeter to diagnose issues like memory leaks and ensure that these services can handle high user loads and stress conditions. JMeter's capability to simulate different user loads allows organizations to test web applications under various scenarios and identify potential bottlenecks. In addition, JMeter is widely used for performance benchmarking of APIs to determine their ability to handle heavy loads and maintain optimal performance.
Another significant use case for JMeter is in the testing of cloud-based applications. With the growing trend of cloud computing, organizations need a reliable tool to assess the performance and scalability of their cloud-based applications. JMeter's ease of use, cost-effectiveness, and ability to simulate real-world scenarios make it an ideal choice for testing cloud applications.
JMeter also plays a crucial role in evaluating the functionality and performance of web APIs. Users leverage its capabilities to send HTTP requests, measure response times, analyze throughput, and identify any potential issues with API endpoints. This enables organizations to ensure that their APIs are performing optimally and meeting the needs of their users.
Moreover, JMeter is widely used for assessing website performance by measuring response times under different load conditions. This allows organizations to identify potential performance bottlenecks in their websites and optimize them for better user experience.
Overall, JMeter offers a wide range of use cases and has become a go-to tool for organizations looking to test the performance, scalability, and reliability of their web applications, APIs, and cloud-based systems. Its versatility, ease of use, and cost-saving benefits make it a popular choice among developers and testers alike.
User-Friendly Interface: Many users have praised JMeter for its user-friendly interface, stating that it makes load testing and stress testing efficient and easy. They appreciate the clear documentation provided by JMeter, which helps them test their applications' performance and resolve any issues before going into production. The friendly and easy-to-use UI of JMeter contributes to its popularity among testers.
Powerful Load Testing Functionality: Users consider JMeter a powerful tool for analyzing product performance through load testing. They find it very useful for performing performance tests in a detailed manner and consider it more complete than other tools like NeoLoad and LoadRunner. The ability to automate JMeter tests and integrate them with Jenkins is seen as a major advantage by users. The availability of various testing features, including functional and automation testing, is also appreciated.
Flexibility and Customization: Users highlight the flexibility of JMeter, allowing for customization according to their specific needs. They value the ability to replicate real-time scenarios, efficiently manage cookies, and utilize thread groups. Additionally, they highly appreciate the abundance of information available on the web about building custom flows with JMeter. The flexibility of JMeter along with the availability of numerous plugins are highlighted as valuable features by users.
Poor reporting feature: Some users have mentioned that they are not satisfied with the reporting feature in JMeter. They feel that it is lacking in terms of providing comprehensive test results and could be improved to offer more insightful data analysis.
Inefficient resource utilization: Several reviewers have stated that JMeter does not efficiently utilize system resources. This means that when simulating loads, JMeter requires a larger number of instances compared to other tools performing similar tasks. Users believe that optimizing resource usage would enhance performance and scalability.
Difficult script management: Users have expressed frustration with managing scripts in JMeter. The .jmx file format used for scripts is considered difficult to work with as it is not written as code, making it challenging to compare different versions or edit recorded test scenarios without re-recording them from scratch. Simplifying script management would greatly improve user experience and productivity.
Users commonly recommend JMeter for the following purposes: API Call Validation and Load Testing. JMeter has proven effective in testing critical applications and ensuring their performance before going live. It is highly compatible, adaptable, and open source, which allows users to easily integrate it into their existing infrastructure. JMeter is recommended for performance testing, including load testing, software testing, and test automation. It is particularly useful for load testing web applications with numerous users and conducting stress tests. Users advise against running CPU extensive applications with JMeter and emphasize the importance of taking the time to properly learn the tool in order to maximize its potential and effectively solve problems.
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Reviews
(1-8 of 8)Companies can't remove reviews or game the system. Here's why
January 08, 2022
Best tool for performance testing
Jmeter is used for the load or performance testing of an application. It is used to identify the bottleneck in the performance and improve the user experience. We have used for newly created authenticated API, Identify management system, and database to store PII. It is worth the tool to create your project and scripts to benchmark the performance numbers for future releases and improvements. We have found many bottlenecks in the application which required to re-design the data flow with the help of Jmeter.
- Performance Testing.
- Load Testing.
- Penetration Testing.
- Scale the test and rerun existing scripts.
- Project Creation.
- Variable declaration.
- Global Design UI.
- End User scenario to execute like live users performing the action on the application.
August 02, 2021
Performance Testing made Easy!
In my organization, JMeter is mainly used by the quality department to conduct all types of performance tests. The application is very powerful and has many features. The best part is the fact that it's for free. The Application helps us deliver software products that can withstand a huge load of users which results in better customer satisfaction. You can do stress testing, load testing on both Web UI Applications and API WevServices. Also, you can read the test data needed from external Excel CSV file which helps if you want diverse load tests.
- Open Source and For Free
- Supports all types of Performance Testing (Load Testing, Stress Testing, etc.)
- Supports Web UI and API Services
- Read Test Data from Excel File
- User Interface and User Experience is very poor
- No HTML Reports generated for the Performance Test Results
- Almost impossible to edit recorded test scenarios and you need to Record the Test Scenario again
- Need to have Programming skills because most probably you will need them in Complex Test Scenarios
July 28, 2021
Flexible load testing
We used JMeter for performance and load testing of our cloud service to verify that it worked well with many users before launch and also to be able to calculate costs when scaling up the service for more users.
- Easy load testing to verify system with load from many users
- Very customizable through your own Java code
- Possible to run from a console without any user interface
- Make it easier to record traffic and use that as input during testing
March 07, 2018
JMeter, a tool to test web apps
JMeter is being used to run load tests against the web applications that we are working on.
- It allows excluding css and js files from request whenever you want
- The installation is quite simple
- No programming knowledge is required
- I'd like to have the chance to modify the scripts but since they are really big XML file that task is almost impossible
- A friendly UI would be appreciated
October 24, 2017
JMeter for load testing
Jmeter is used by the development team for testing the performance of web APIs.
- It is very helpful while ensuring performance and stability of web applications
- Good knowledge of programing provides great flexibility to do different things
- You don't need to pay as Jmeter is an open source tool with support from web community
- Recording of tests is very complex for a user with less programming skills.
September 30, 2015
JMeter is a great all around load test tool with some caveats.
Score 8 out of 10
Vetted Review
Verified User
We currently use JMeter at one of our divisions in the organization to assess site/system performance, fixing any issues that arise and looking for regressions in performance. We do this on a yearly basis before our holiday peak comes. Although strategically, our test framework/tools team is standardizing the entire company to use another open source tool going forward called Gatling. But we have yet to complete full migration to it, so in the meantime we still use JMeter.
JMeter was selected initially when we started formalizing load testing at my division and was evaluated along with another tool called WebLoad. We picked JMeter for its ease of use, usefulness, and being open source which saved us licensing costs. We primarily use JMeter to generate HTTP requests against our websites, either simulating browser activity or making back end REST API calls.
JMeter was selected initially when we started formalizing load testing at my division and was evaluated along with another tool called WebLoad. We picked JMeter for its ease of use, usefulness, and being open source which saved us licensing costs. We primarily use JMeter to generate HTTP requests against our websites, either simulating browser activity or making back end REST API calls.
- Easy of use - in generate load like HTTP requests, and processing/analyzing the responses. No coding is necessary at the basic level, just need to understand load testing and the infrastructure being tested.
- Automatic management of things like cookies to help with session state support - so you don't specifically have to worry about it or handle it
- Lots of testing/configuration options to suit your needs in making the right load generation (sampling requests), and analyzing the results, including any pre and post processing of the results first. Things like the Beanshell/BSF pre/post processors, response assertion, regular expression extractor, XPath extractor, CSV data set config
- There is a JMeter cloud service called BlazeMeter that I think would be useful for those that need to scale up high load without provisioning their own systems. I've not personally tried it though, but I recently attended a meetup presentation that highlighted nice useful features that BlazeMeter provides. One should evaluate the service if they are considering JMeter and need to expand beyond existing hardware resources.
- Programmatic customization - for more lower level detailed programming fine tune control of load test actions and processing of results, one has to write a JMeter plugin and load that plugin with JMeter to use it. Or encapsulate the logic into something like a Java class and access that through Beanshell, etc. in the pre/post processor or sampler, etc. It provides somewhat less control of everything than some other tools like Gatling. Or at least it requires more effort and a greater level of understanding of the workings of JMeter internals than a normal user has.
- Test plan reuse - by design JMeter doesn't work very well when you have frequent components that you reuse across tests or having different modular tests chained together to form a bigger load tests. It gets harder to do so as you scale up with more tests or more levels of testing. Though someone once pointed out to me you can deal with this to some extent using test fragments and encapsulate the reusable component configurations in a test fragment that you can import to other tests. The fragments would be like the test templates. I've personally not gotten around to trying that out though. The other approach is to abstract the common usage functionality/code into Java class (for use with Beanshell, etc.) or JMeter plugin and reuse that. And the lazy way most beginners would deal with reuse is copy & paste from one area to another or one file to another.
- JMeter might not generate load as well as other test tools not being able to scale up the load as high. I personally have not observed this yet comparing different load tools. But our test frameworks/tools division has found that Gatling scales higher and better than JMeter for high concurrency load against the system. So just wanted to point that out.
May 17, 2014
Get a load of the JMeter power
Score 9 out of 10
Vetted Review
Verified User
We use JMeter mainly to load test the new hardware, soak testing memory leaks and rarely it's being used to automate certain testing processes. Jmeter is being used mainly in our QA department and very rarely by development team. Jmeter is an awesome tool, but does take a while to set up test cases and even longer to train someone to use it.
- No overhead, it is the key to successful stress and destruction testing.
- Scalability, you can connect JMeter with multiple machines
- Flexibility, you can use UI to create your test or code it from scratch
- Has great server monitoring tools
- Huge community behind it
- Lots of plugins and extensions
- It's FREE!
- Better User Interface
- Needs a little more documentation and references
- Improve overall look to the modern like interface
May 13, 2014
JMeter is awesome
Score 10 out of 10
Vetted Review
Verified User
I used Jmeter directly to load test a web UI in a previous role and my current employer uses it in their QA department. The main thing I love about it is that it does such a unique job of operating in a way that enables people with a diverse range of skill sets to get what they need out of it. If you just want to run a test that someone else created and analyze the stats, you just need to drop a file and you're good to go. At the other end of the spectrum, if you're building a test and want to get very specific about the test's behavior, you have a massive array of tools at your disposal. I recommend it strongly to anyone doing GUI testing.
- Modular test construction
- Detailed statistical reporting
- Exportable test design
- The level of detail it provides can be overwhelming at times for newbies. It would benefit from some improvements that made it easier to quickstart