StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. AWS Device Farm vs Flood IO vs Locust

AWS Device Farm vs Flood IO vs Locust

OverviewComparisonAlternatives

Overview

Flood IO
Flood IO
Stacks20
Followers70
Votes5
Locust
Locust
Stacks191
Followers317
Votes51
GitHub Stars27.0K
Forks3.1K
AWS Device Farm
AWS Device Farm
Stacks74
Followers180
Votes5

AWS Device Farm vs Flood IO vs Locust: What are the differences?

Introduction:

AWS Device Farm, Flood IO, and Locust are three popular testing tools used for performance and load testing of web applications. Each tool offers unique features and functionalities that cater to different testing requirements. It is essential to understand the key differences between these tools to choose the right one for your testing needs.

  1. Platform Support: AWS Device Farm is a cloud-based testing service provided by Amazon Web Services, which offers automated testing on real devices hosted in the AWS cloud. Flood IO, on the other hand, is a cloud-based load testing platform that allows you to run tests on virtual users generated by Flood agents. Locust is an open-source load testing tool that can be run on-premises or on virtual machines in the cloud.

  2. Test Execution: AWS Device Farm focuses on testing mobile applications on real devices, offering features like parallel execution, remote debugging, and video recording of test runs. Flood IO specializes in generating high loads through distributed load injection, providing real-time insights into performance metrics like response times and error rates. Locust, being an open-source tool, allows users to create custom load testing scenarios in Python scripts and execute them on their chosen environment.

  3. Cost Structure: AWS Device Farm follows a pay-as-you-go pricing model, where users are charged based on the number of device minutes utilized for testing. Flood IO offers pricing plans based on the number of virtual users and test duration, with options for monthly subscriptions or pay-as-you-go. Locust is free to use, as it is an open-source tool, but users may incur costs for hosting resources if running tests on cloud servers or virtual machines.

  4. Scalability: AWS Device Farm allows users to run tests on hundreds of real devices concurrently, providing scalability for testing mobile applications on a wide range of devices. Flood IO offers the ability to simulate thousands of virtual users to create high loads on web applications, enabling testing of scalability and performance under heavy traffic conditions. Locust provides flexibility in scaling up the number of users and requests in a distributed manner, allowing users to mimic real-world scenarios effectively.

  5. User Community and Support: AWS Device Farm offers professional support from the team at Amazon Web Services, along with comprehensive documentation and resources for users. Flood IO provides support through their customer success team and community forums, offering guidance on setting up and running load tests effectively. Locust, being an open-source tool, has a strong community of users who actively contribute to its development, providing ample resources, plugins, and tutorials for users to leverage.

In Summary, understanding the key differences between AWS Device Farm, Flood IO, and Locust in terms of platform support, test execution, cost structure, scalability, and user support is crucial in choosing the right testing tool for performance and load testing requirements.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Flood IO
Flood IO
Locust
Locust
AWS Device Farm
AWS Device Farm

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

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.

Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.

Browser-based load testing; JMeter load testing; Gatling load testing; Detailed reporting; on-premise; multi-cloud; AWS load testing
Define user behaviour in code;Distributed & scalable;Proven & battle tested
Test on the same devices your customers use; Fix issues faster and delight your users; Simulate real-world environments; Choose the tests that work for you; Integrate with your development workflow; Test with confidence;
Statistics
GitHub Stars
-
GitHub Stars
27.0K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
3.1K
GitHub Forks
-
Stacks
20
Stacks
191
Stacks
74
Followers
70
Followers
317
Followers
180
Votes
5
Votes
51
Votes
5
Pros & Cons
Pros
  • 2
    Great feature set
  • 2
    Affordable
  • 1
    Easy to use
Pros
  • 15
    Hackable
  • 11
    Supports distributed
  • 7
    Open source
  • 6
    Easy to setup
  • 6
    Easy to use
Cons
  • 1
    Bad design
Pros
  • 3
    1000 free minutes
  • 2
    Pay as you go pricing
Cons
  • 1
    Records all sessions, blocks on processing when done
  • 1
    You need to remember to turn airplane mode off
Integrations
Travis CI
Travis CI
GitHub
GitHub
New Relic
New Relic
Jenkins
Jenkins
Slack
Slack
CircleCI
CircleCI
Amazon API Gateway
Amazon API Gateway
AWS IAM
AWS IAM
Flowdock
Flowdock
Python
Python
No integrations available

What are some alternatives to Flood IO, Locust, AWS Device Farm?

k6

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.

Gatling

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.

Loader.io

Loader.io

Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.

BlazeMeter

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

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.

RedLine13

RedLine13

It is a load testing platform that brings the low cost power of the cloud to JMeter and other open source load testing tools.

Blitz

Blitz

Build bulletproof, scalable solutions with Blitz - a simple and fun service for load testing web apps and APIs in the cloud. Blitz offers powerful yet simple capabilities including continuous monitoring, performance testing and remediation. Blitz enables you to instantly burst up to 50,000 concurrent users against your app in seconds from multiple points of presence around the world.

Soundkit

Soundkit

Voice agent QA for teams who can't afford broken calls, compliance gaps, or production failures. Simulate thousands of conversations, validate legal

LoadNinja

LoadNinja

It is  a  cloud-based platform for engineers and performance professionals who load test web applications. It makes load testing simple and fast. Test your website and web apps on real browsers, in the cloud, without the need for dynamic correlation.

Artillery

Artillery

It is a modern, open-source, powerful & easy-to-use performance testing toolkit. Use it to ship scalable applications that stay performant & resilient under high load. It prioritizes developer productivity and happiness and follows the “batteries-included” philosophy.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope