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Flood IO

20
70
+ 1
5
Locust

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

1. Scalability: Flood IO offers higher scalability than Locust as it can simulate millions of users while Locust is limited in the number of virtual users it can simulate.
2. Cloud Integration: Flood IO provides seamless integration with cloud platforms like AWS, Azure, and GCP for distributed load testing, whereas Locust requires manual setup for distributed load testing.
3. Reporting and Analysis: Flood IO provides detailed reporting and analysis tools, including real-time metrics and performance insights, while Locust has limited built-in reporting capabilities.
4. Protocol Support: Flood IO supports a wide range of protocols such as HTTP, WebSocket, and JMeter, whereas Locust mainly focuses on HTTP protocol.
5. User Interface: Flood IO offers a user-friendly web interface for test configuration and monitoring, making it easier for users to create and manage performance tests, whereas Locust relies on writing test scripts in Python code.
6. Pricing Model: Flood IO has a pay-as-you-go pricing model based on the number of virtual users and test duration, while Locust is an open-source tool with no licensing fees but requires more manual configuration and maintenance.

In Summary, Flood IO offers superior scalability, cloud integration, reporting capabilities, protocol support, user interface, and pricing model compared to Locust for load testing.

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Pros of Flood IO
Pros of Locust
  • 2
    Great feature set
  • 2
    Affordable
  • 1
    Easy to use
  • 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 Flood IO
Cons of Locust
    Be the first to leave a con
    • 1
      Bad design

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

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    What are some alternatives to Flood IO and Locust?
    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.
    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.
    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.
    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