AWS Device Farm vs Apache JMeter vs Gatling

Overview

Gatling

Stacks251

Followers318

Votes21

GitHub Stars6.8K

Forks1.2K

AWS Device Farm

Stacks76

Followers180

Votes5

Apache JMeter

Stacks440

Followers285

Votes10

🔥 Trending in Load Testing on StackShare

Toxiproxy Load Testing

Simulate network and system conditions for chaos testing

Try it View Docs Alternatives

Try

Detailed Comparison

Gatling	AWS Device Farm	Apache JMeter
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.	Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.	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.
Simulating heavy traffic; Load testing as code for CI/CD integration & automation; API Load testing; Automated deployment of load injectors; Response times reports	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 -	GitHub Stars -
GitHub Forks 1.2K	GitHub Forks -	GitHub Forks -
Stacks 251	Stacks 76	Stacks 440
Followers 318	Followers 180	Followers 285
Votes 21	Votes 5	Votes 10
Pros & Cons
Pros 6 Great detailed reports 5 Can run in cluster mode 5 Loadrunner 3 Scala based 2 Load test as code Cons 2 Steep Learning Curve 1 Hard to test non-supported protocols 0 Not distributed	Pros 3 1000 free minutes 2 Pay as you go pricing Cons 1 You need to remember to turn airplane mode off 1 Records all sessions, blocks on processing when done	Pros 5 Requires no programming knowledge 3 Supports distributed 2 Open-source Cons 1 Too complicated 1 It's GUI-first

What are some alternatives to Gatling, AWS Device Farm, Apache JMeter?

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.

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

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>

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

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

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

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

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.