Overview
What is JMeter?
JMeter, from Apache, is a load and performance testing tool.
Apache JMeter- the open source standard for load measuring and testing
World's best performance benchmarking and load testing tool
Best tool for performance testing
Why we could rely on Apache JMeter
Performance Testing made Easy!
Fastest way to test your application
Flexible load testing
Powerful performance testing tool
Great tool for Performance Testing
Performance is a key and JMeter is a solution
JMeter, a tool to test web apps
Performance Testing Using JMeter
JMeter for load testing
JMeter Review
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%
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
90 people also want pricing
Alternatives Pricing
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.
Product Demos
Apache JMeter - GUI Mode | How to open JMeter in GUI mode?
Mobile Performance Testing using LoadRunner and JMeter (Demo Session 1) - By Isha Training Solutions
How To Make 100000 Request Spring REST API | Apache JMeter Demo | Performance Testing | InterviewDOT
Features
Load Testing
Load testing is the simplest form of performance testing and is designed to test system behavior under expected loads
- 9End to end performance management(21) Ratings
Identify end to end performance bottlenecks, not just web application response time
- 8.7Integrated performance data(22) Ratings
Cross-analysis of data gathered from all the components of the application
- 6.7Deployment model flexibility(21) Ratings
Software can be deployed in testing lab, and also in cloud
- 8.8Real time monitoring(21) Ratings
Real time monitoring means monitoring the entire application environment while under load
- 4.8Automated anomaly detection(18) Ratings
Automated anomaly detection helps detect exception conditions that can be the cause of performance degradation
Product Details
- About
- Integrations
- Tech Details
- FAQs
What is JMeter?
JMeter Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(143)Community Insights
- Business Problems Solved
- Pros
- Cons
- Recommendations
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.
Attribute Ratings
Reviews
(1-21 of 21)- Easy to get started with
- Good, straightforward UI
- Deep options for fine tweaking under uncommon scenarios
- Some options are arcane and misleading
- Results are too easily skewed by poor methodology
- Report generation.
- Multithreading
- Log debugging and sampling.
- Optimize CPU and Memory utilization.
- Reporting visuals and metrics.
Any new service i.e. monolith or microservice must be load tested to check how it can scale at extreme load, this helps to be prepared early and stay ahead of the competition too.
Not suited:
Limited CPU and Memory resources are available.
Why we could rely on Apache JMeter
- Performance testing
- Load testing
- Stress testing
- Interface
- Installation
- Ease of use
Performance Testing made Easy!
- 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
Flexible load testing
- 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
Powerful performance testing tool
- User interface is not complex. Easy to understand and work flow is very simple.
- It comes with many useful testing features.
- It's very difficult to find any cons about this powerful tool. Actually it works perfectly for me.
- While installation is very simple, some problems may occur if it is not installed by someone with experience.
Performance is a key and JMeter is a solution
- Jmeter is an open source and highly customized tool for your needs. There are open source JMeter plugins also available in the market to extend JMeter existing functionality.
- JMeter provides a very easy user interface and pluggable components, and different visual charts and summary report listeners. Also nowadays JMeter supports quite rich HTML reporting.
- JMeter can be used for volume testing, load testing, availability testing. Also, it allows the master and slave concept. Hence you can create multiple load generators and controllers, and JMeter will give you combined execution status.
- JMeter provides great documentation.
- To get a summarized HTML report, the user needs to configure a lot of things. It should be done with a single click like other paid tools in the market.
- Support to measure desktop based application performance.
Performance Testing Using JMeter
- It has many inbuilt functionalities like cookie manager baked in so that you don't spend too much time in addressing those. It's UI is very neat and very easy to use. Record/Playback options to build tests.
- You can easily add what thread groups, logic controllers, samplers, assertions, listeners etc.. for effective performance tests
- As a bonus, you can use JMeter to test the functionality of web services/rest services as well meaning you can use ONE tool to test performance and functionality of your service layer
- It's very easy to parameterize the tests and also load the data from excel which you would expect to do a lot in good performance testing.
- With the samplers, you can integrate selenium with JMeter to develop effective tests at UI layer for free.
- Even though it has very easy installation, you can run into issues easily. I was ab;e to trigger a test at browser level but couldn't stop the tests. I had to kill it from task manager and then had to reinstall from begining.
- There are so many things in JMeter you can do especially with the sampler for selenium for UI tests. More documentation/webinars etc.. would help the community better.
- The jmx files should have an easy way to be integrated with ci/cd tools and cloud.
JMeter for load testing
- 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.
why Jmeter to use for functional and automation and performance testing
- Jmeter has a good user interface, and this is one of its best strengths.
- It supports most of testing like functional, automation and load.
- It supports any open source language like Java, Javascript, BeanShell, Groovy. Any developer can use it.
- It integrates with Selenium, Eclipse, Jenkins, TeamCity.
- As it is opensource, there could be small bugs, so if developers are throughly checked, it will be best
- One should understand of proper language, then it will be easy to use JMeter.
- it is not like commerical tool. so it wont have advantages of them
JMeter Review
- Open source tool
- Database load testing
- Handles the correlation effectively using regular expressions
- Naming convention of transaction scenarios in the jmeter dashboard could be improved.
- Think time and pause time could be explained effectively.
- Increase the RAM usage from tool itself rather than going into the bit files and changing it for accommodating a higher number of users and machines.
- Limited access to help
- Improve GUI of tool
It is less appropriate to test Ajax applications where it is required to script click per use.
Test cloud-based applications with Apache JMeter
- Extending functional JMeter scripts for reliability testing.
- Using the Module Controller to modularize reusable fragments.
- JMeter's capabilities as a testing tool for RESTful APIs.
- I think JMeter hangs up on large loads. I have seen JMeter becoming unresponsive in the middle of a test. It is because of garbage collection in JMeter. We use best practices to mute all listeners, use non GUI mode, etc., but even with many best practices JMeter pauses in between load tests.
- The reporting feature can be improved to provide better test results.
JMETER Review - Tool that can used for any project type.
- Page load
- Duration of test in seconds with number of virtual users that server can support in x number of seconds (users/sec)
- Determine a system's behavior under both normal and anticipated peak load conditions
- Min/Max duration for each page to load
- Reverse stress test and its consequences
- Duration of test in seconds with number of virtual user that server can support in x number of seconds (users/sec)
- Determine a system's behavior under both normal and anticipated peak load conditions
- Min/Max duration for each page to load
- Better UI
- Multiple project window
- Saving and importing script on another machine looses some settings
- Number of supported users
- Peak traffic time
- Page size and total number of pages
- Images on page and its size
Cool open source tool for WebService Performance testing
- Interaction with Java and JUnit is the one of best features and strengths of JMeter.
- Bean shell is another strength where you can write a customized version of your scripts.
- Webservice Performance is pretty easy compared to other tools.
- UI Recording gives a easy way of building scripts.
- JMeter needs to improve the interface and the start and stop process; several times it just hangs when you see an issue and stops testing in between. There is no impact but user has to reopen JMeter as the earlier session still hold resources.
- More powerful reporting and listeners, compare previous test and current test results. Loadosophia is best example of it, including BlazeMeter which are paid versions.
JMeter is a great all around load test tool with some caveats.
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.
Jmeter- Performance testing tool
It is used by my department. It handles the business problems of estimating how much the application would sustain under high load, resources required for a particular client requirement.
- Jmeter scripts are good to be used for load and soak tests. This helps in analysing response times and throughput. For example for a particular application it would give response time for each transaction you perform like login, submitting information etc.
- Jmeter has elements like listeners which helps us visualize results and helps us compare them. This helps in analyzing the results faster. For example to compare response times of different transactions
- Jmeter is flexible and can be used to test any applications apart from Java. For example I tried to prepare scripts for SOAP and web service.
- Jmeter requires many tweaks with respect to its configuration file and thread properties. users need to edit theses files themselves. There could be some interface where we can edit this fields.
- Jmeter cannot handle more threads and hangs up when we increase the number of threads. This causes lot of inconvenience. In these situations, user can be notified that such change would be lead to slow performance so that user can do as required. The same appears when we try to view huge files on graph listener.
- Jmeter should optimize the read and write access to output csv since it acts as overhead to the I/O performance. This affects our test results for the application which we are testing.
What Can JMeter Do For You?!
- JMeter has the best range of 'config element' options available to the user. Versatility is the key for me when building a solid base of data options that will be available for all facets of the desired test case selection.
- JMeter provides the user with a variety of reports, results and graphs that can provide the customer with a solid picture of the overall success of the test plan and how to build out the future scenarios. The key is having all levels of output options (executive to technical) and the ability to have comprehensive reviews for all IT teams.
- JMeter has a very robust multithreading framework that allows my team to emulate dozens of user options and threads from within the same test sampling. Building a broad-based test sample is crucial to the success of our testing efforts as we step towards the SOA environment and away from the archaic way of thinking about QA testing. Too many other load testing tools are limited in their scenario building options and ability to simulate so many different types of users.
- I would like to see the WebService (SOAP) functionality returned to JMeter. I don't mind the HTTP option update for this, but I still use previous versions with this option available.
- I would like to see someone build a better, well-rounded documentation effort. I understand this is open source, but there are millions of users out there and at least one of them has some Technical Writing background.
JMeter evaluation 2014
- JMeter is easy to use. Explaining how to get a simple script going is not difficult.
- JMeter is open source and free.
- JMeter really is the industry standard now.
- JMeter does not make good use of system resources. In the AWS cloud I often use 100 m1.large JMeter instances to simulate equivalent loads as 20 m1.medium Gatling instances.
- The JMeter .jmx file is hard to diff. JMeter scripts are not written as code, the user uses a GUI to create a gigantic xml file.
- When you have to drop into Beanshell things are not fun.
If you can code, try Gatling, it is the future.
- Restful web service load tests - some what complex to setup, but easy to use once it is.
- More real world examples to help with learning the product
- Easier setup to load test HTML pages
- Not particularly suited for Functional testing
Jmeter is a great automated tool that can be used for both functional and load/performance testing.
- Load Testing - it is easy to conceptualize the type of requests being made
- Plug-in support - if Jmeter doesn't come with something you need you are likely to find it on the internet. You could even develop a plugin yourself.
- Simplicity - the interface is pretty barebones and straightforward, you will not be overwhelmed by options
- It would be nice to more easily integrated into a CI system (like Jenkins/Hudson). There are workarounds out there but they are not very straightforward to implement.
- Memory usage of the tool can get high when using the "graphical" listeners in real time.
JMeter is awesome
- 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