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Flood IO

20
70
+ 1
5
Gatling

249
317
+ 1
21
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Flood IO vs Gatling: What are the differences?

Introduction: Flood IO and Gatling are both performance testing tools used to simulate load on web applications. Despite serving the same purpose, there are key differences between the two tools that influence their suitability for various testing scenarios.

  1. Protocol Support: Flood IO supports a wide range of protocols including HTTP, WebSocket, and JMS, making it suitable for testing a variety of applications. On the other hand, Gatling primarily focuses on HTTP and HTTPS protocols, limiting its versatility compared to Flood IO.

  2. Scripting Language: Gatling uses a Scala-based DSL (Domain Specific Language) for scripting test scenarios, which may require a steeper learning curve for testers unfamiliar with Scala. In contrast, Flood IO offers a more user-friendly experience by supporting JMeter, Selenium, and customized scripts written in JavaScript, Python, Ruby, etc., making it accessible to a wider range of testers.

  3. Cloud Integration: Flood IO is specifically designed for cloud-based load testing, providing seamless integration with major cloud platforms such as AWS, Azure, and Google Cloud. On the contrary, Gatling requires additional setup and configuration to be deployed in a cloud environment, making it less convenient for testers seeking quick scalability.

  4. Real-time Reporting: Gatling provides detailed real-time metrics during test executions, allowing testers to monitor performance indicators such as response times, errors, and throughput instantly. In comparison, Flood IO offers advanced reporting features like response time distribution graphs, error logs, and waterfall charts, enhancing the visibility into test results for more insightful analysis.

In Summary, Flood IO stands out for its protocol support, user-friendly scripting options, cloud integration, and advanced reporting features, while Gatling excels in providing detailed real-time metrics during test executions.

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Pros of Flood IO
Pros of Gatling
  • 2
    Great feature set
  • 2
    Affordable
  • 1
    Easy to use
  • 6
    Great detailed reports
  • 5
    Can run in cluster mode
  • 5
    Loadrunner
  • 3
    Scala based
  • 2
    Load test as code
  • 0
    Faster

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Cons of Flood IO
Cons of Gatling
    Be the first to leave a con
    • 2
      Steep Learning Curve
    • 1
      Hard to test non-supported protocols
    • 0
      Not distributed

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    - No public GitHub repository available -

    What is Flood IO?

    Performance testing with Flood increases customer satisfaction and confidence in your production apps and reduces business risk.

    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.

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    What companies use Flood IO?
    What companies use Gatling?
    See which teams inside your own company are using Flood IO or Gatling.
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    What tools integrate with Flood IO?
    What tools integrate with Gatling?

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    What are some alternatives to Flood IO and Gatling?
    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>
    Apache JMeter
    It is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions.
    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.
    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.
    AWS Device Farm
    Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.
    See all alternatives