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Comparison of Open-Source Performance Testing Tools JMeter and Gatling

JMeter and Gatling are popular open-source tools for performance testing, but they have different strengths and weaknesses. Read this post to select the best solution for your use case.

Ease of Use


JMeter provides a graphical user interface (GUI), making it easier for beginners to create test plans. While the GUI is intuitive, JMeter's extensive features and settings can overwhelm new users.


Gatling uses a code-based approach, writing tests in Java, Kotlin or Scala. This can be more challenging for beginners but offers greater flexibility for developers familiar with programming. The initial learning curve is steeper due to the need to write scripts, but it can be more efficient for those who prefer coding.



JMeter can consume a significant amount of resources (CPU, memory) on the machine it runs on, especially when simulating a large number of users. JMeter can be scaled using distributed testing with multiple machines, but this setup can be complex.


Gatling is designed to be more resource-efficient, handling large numbers of users with lower CPU and memory usage than JMeter. Gatling's efficient resource management makes it better suited for simulating high loads on a single machine.

Test Creation


We create tests using a combination of test elements, such as samplers, listeners, and configuration elements within the GUI. JMeter supports complex test scenarios, but managing large test plans can become cumbersome.


Tests are written in Scala, Java, or Kotlin, providing powerful capabilities for complex scenarios and reusability. Highly flexible for developers, allowing for parameterization, loops, conditional logic, and custom functions.

Reporting and Analysis


JMeter lets various listeners visualize results in real time (graphs, tables, etc.) and can generate HTML reports post-execution. It offers comprehensive reporting features, but real-time analysis can impact performance.


Generates detailed HTML reports automatically after test execution, including graphs, statistics, and response time distribution.

Reports are generated after the test run, avoiding performance overhead during execution.



JMeter has many plugins for different protocols, reporting, and other functionalities. It is highly extensible through scripting (BeanShell, Groovy) and plugins.


Custom extensions and logic can be added. Integrates well with existing Java and Scala libraries for extended functionality.

Protocol Support


JMeter supports many protocols, including HTTP, HTTPS, FTP, JDBC, JMS, LDAP, SOAP, REST, and more. It is suitable for various types of testing, including web, database, and messaging services.


It supports similar protocols to JMeter, including HTTP, HTTPS, JMS, JDBC, SOAP, REST, FTP, and Websockets.

Community and Support


Extensive community support, numerous tutorials, documentation, and plugins available.Widely used and well-established in the industry.


Active and growing community with good documentation and tutorials. Strong support for developers, especially those familiar with Scala.


Choose JMeter if you prefer a GUI for test creation, need support for a wide range of protocols, or are just starting with performance testing.

Choose Gatling if you need a highly efficient, code-based tool for a wide range of application performance testing tasks, prefer script-based test creation, or require detailed, post-execution reporting.

Both tools have strengths, and you can choose one based on the specific needs and preferences of your performance testing requirements.

And don't forget to start performance testing sooner than later to mitigate performance risks and save more.

Keep up the great work! Happy Performance Engineering!


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