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Gatling

248
317
+ 1
21
Locust

171
315
+ 1
51
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Gatling vs Locust: What are the differences?

  1. Key Difference 1: Performance Testing Tool Comparison: Gatling is a leading open-source load and performance testing tool developed using Scala with a strong focus on asynchronous, non-blocking processing. On the other hand, Locust is also an open-source performance testing tool, but it is written in Python and emphasizes simplicity and flexibility.
  2. Key Difference 2: Language and Support: Gatling is primarily based on Scala, a programming language widely used in the industry. It has an active and supportive community that contributes to its development and provides solutions. In contrast, Locust is based on Python, which is also a widely adopted language, but it has a smaller community and may have limited support and resources compared to Gatling.
  3. Key Difference 3: Testing Paradigm: Gatling uses an event-driven, simulations-based approach where users define scenarios using a Domain-Specific Language (DSL) for writing simulations, allowing for more precise control over the test flow. Locust, on the other hand, uses an imperative approach, allowing users to define the test flow directly in Python code.
  4. Key Difference 4: Modularity and Extensibility: Gatling provides a modular and extensible architecture, allowing users to create custom components and plugins to extend its capabilities as per their requirements. In contrast, Locust offers limited modularity and extensibility options compared to Gatling, which might restrict its customization possibilities.
  5. Key Difference 5: Real-time Monitoring and Reporting: Gatling offers comprehensive real-time monitoring and reporting features, including intuitive and detailed graphical representations, enabling users to analyze test results effectively. Locust, while providing basic monitoring and reporting, may not provide the same level of detailed graphical analysis as Gatling.
  6. Key Difference 6: Maturity and Enterprise Support: Gatling has been in the market for a longer time and is well-established, often used for enterprise-grade performance testing. It has a dedicated support team and offers enterprise support services. Locust, being relatively newer, may have limited enterprise support options and might be more suitable for smaller-scale performance testing projects.

In Summary, Gatling and Locust differ in the programming language, testing paradigm, modularization, real-time monitoring, maturity, and enterprise support, making them suitable for different user preferences and testing needs.

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Pros of Gatling
Pros of Locust
  • 6
    Great detailed reports
  • 5
    Can run in cluster mode
  • 5
    Loadrunner
  • 3
    Scala based
  • 2
    Load test as code
  • 0
    Faster
  • 15
    Hackable
  • 11
    Supports distributed
  • 7
    Open source
  • 6
    Easy to use
  • 6
    Easy to setup
  • 4
    Fast
  • 2
    Test Anything

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Cons of Gatling
Cons of Locust
  • 2
    Steep Learning Curve
  • 1
    Hard to test non-supported protocols
  • 0
    Not distributed
  • 1
    Bad design

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What is Gatling?

Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support.

What is Locust?

Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle.

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What companies use Gatling?
What companies use Locust?
See which teams inside your own company are using Gatling or Locust.
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What tools integrate with Gatling?
What tools integrate with Locust?
What are some alternatives to Gatling and Locust?
Selenium
Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should!) also be automated as well.
BlazeMeter
Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.<br>
k6
It is a developer centric open source load testing tool for testing the performance of your backend infrastructure. It’s built with Go and JavaScript to integrate well into your development workflow.
Cucumber
Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
See all alternatives