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AWS Device Farm vs Gatling vs Locust: What are the differences?
# Introduction
AWS Device Farm, Gatling, and Locust are popular tools used for testing applications and websites. Each of these tools offers unique features and capabilities, so it is essential to understand the key differences between them.
1. **Deployment**: AWS Device Farm is a cloud-based service provided by Amazon Web Services for testing iOS, Android, and web applications on real devices, while Gatling and Locust are open-source tools that require local or self-managed infrastructure for deployment.
2. **Testing Approach**: AWS Device Farm primarily focuses on real-device testing, enabling users to test their applications on a wide range of devices to ensure compatibility and performance. On the other hand, Gatling and Locust are designed for load testing, simulating a large number of users to assess the application's response under various traffic conditions.
3. **Scalability**: AWS Device Farm offers scalability by providing a vast collection of physical devices and virtual environments for testing, allowing users to run tests concurrently on multiple devices. In contrast, Gatling and Locust scalability is limited to the hardware resources available for deployment.
4. **Cost**: AWS Device Farm is a paid service, and users are charged based on the types and number of devices used for testing. Gatling and Locust, being open-source tools, are free to use but may incur costs for managing infrastructure and resources for testing.
5. **Scripting Language**: Gatling and Locust use Scala and Python, respectively, for scripting test scenarios, offering flexibility and customization options for creating intricate test cases. In comparison, AWS Device Farm provides a user-friendly interface for creating tests without the need for manual scripting.
6. **Integrations**: AWS Device Farm seamlessly integrates with other AWS services, such as AWS CodePipeline and AWS CodeBuild, for automated testing and continuous integration workflows. Gatling and Locust offer integrations with various tools and platforms for result analysis and reporting, making them suitable for different testing environments and workflows.
In Summary, understanding the key differences between AWS Device Farm, Gatling, and Locust can help in choosing the most suitable tool for your specific testing requirements.
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Learn MorePros of AWS Device Farm
Pros of Gatling
Pros of Locust
Pros of AWS Device Farm
- 1000 free minutes3
- Pay as you go pricing2
Pros of Gatling
- Great detailed reports6
- Can run in cluster mode5
- Loadrunner5
- Scala based3
- Load test as code2
- Faster0
Pros of Locust
- Hackable15
- Supports distributed11
- Open source7
- Easy to use6
- Easy to setup6
- Fast4
- Test Anything2
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Cons of AWS Device Farm
Cons of Gatling
Cons of Locust
Cons of AWS Device Farm
- Records all sessions, blocks on processing when done1
- You need to remember to turn airplane mode off1
Cons of Gatling
- Steep Learning Curve2
- Hard to test non-supported protocols1
- Not distributed0
Cons of Locust
- Bad design1
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- No public GitHub repository available -
What is 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.
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 AWS Device Farm?
What companies use Gatling?
What companies use Locust?
What companies use AWS Device Farm?
What companies use Gatling?
What companies use Locust?
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What tools integrate with AWS Device Farm?
What tools integrate with Gatling?
What tools integrate with Locust?
What tools integrate with AWS Device Farm?
What tools integrate with Locust?
What are some alternatives to AWS Device Farm, Gatling, and Locust?
Xamarin Test Cloud
Run your app on our huge (and growing) collection of real devices from around the world. Select devices based on form factor, manufacturer, operating system, or even popularity in your target market. We’re adding over 100 devices every month, and if there’s a specific device you need, we’re taking requests.
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
BrowserStack
BrowserStack is the leading test platform built for developers & QAs to expand test coverage, scale & optimize testing with cross-browser, real device cloud, accessibility, visual testing, test management, and test observability.
Xamarin
Xamarin’s Mono-based products enable .NET developers to use their existing code, libraries and tools (including Visual Studio*), as well as skills in .NET and the C# programming language, to create mobile applications for the industry’s most widely-used mobile devices, including Android-based smartphones and tablets, iPhone, iPad and iPod Touch.
Sauce Labs
Cloud-based automated testing platform enables developers and QEs to perform functional, JavaScript unit, and manual tests with Selenium or Appium on web and mobile apps. Videos and screenshots for easy debugging. Secure and CI-ready.