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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. AWS Device Farm vs Gatling vs Locust

AWS Device Farm vs Gatling vs Locust

OverviewDecisionsComparisonAlternatives

Overview

Gatling
Gatling
Stacks244
Followers318
Votes21
GitHub Stars6.8K
Forks1.2K
Locust
Locust
Stacks191
Followers317
Votes51
GitHub Stars27.0K
Forks3.1K
AWS Device Farm
AWS Device Farm
Stacks74
Followers180
Votes5

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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Advice on Gatling, Locust, AWS Device Farm

Rashmi
Rashmi

Mar 17, 2021

Needs adviceonJenkinsJenkinsGatlingGatlingLocustLocust

I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

104k views104k
Comments
Vrashab
Vrashab

QA at Altair

Jun 23, 2020

Needs adviceonGatlingGatlingLocustLocustFlood IOFlood IO

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

142k views142k
Comments
Aravinth
Aravinth

SSE

Nov 19, 2019

Needs advice

I want to do performance testing with HTTP protocol but the test script should be java script. For now, I kept "Artillery" and "K6" tools in my queue. Did you guys have any idea about this? Is there any tools which support Test script language: JavaScript Protocol: Http/web service Must Feature: Record OS: Mac os/windows

84.4k views84.4k
Comments

Detailed Comparison

Gatling
Gatling
Locust
Locust
AWS Device Farm
AWS Device Farm

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.

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.

Simulating heavy traffic; Load testing as code for CI/CD integration & automation; API Load testing; Automated deployment of load injectors; Response times reports
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
6.8K
GitHub Stars
27.0K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
3.1K
GitHub Forks
-
Stacks
244
Stacks
191
Stacks
74
Followers
318
Followers
317
Followers
180
Votes
21
Votes
51
Votes
5
Pros & Cons
Pros
  • 6
    Great detailed reports
  • 5
    Loadrunner
  • 5
    Can run in cluster mode
  • 3
    Scala based
  • 2
    Load test as code
Cons
  • 2
    Steep Learning Curve
  • 1
    Hard to test non-supported protocols
  • 0
    Not distributed
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
No integrations available
Python
Python
No integrations available

What are some alternatives to Gatling, 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.

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.

Flood IO

Flood IO

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

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.

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.

Toxiproxy

Toxiproxy

It is a framework for simulating network conditions. It's made specifically to work in testing, CI, and development environments, supporting deterministic tampering with connections, but with support for randomized chaos and customization.

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