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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. Gatling vs k6

Gatling vs k6

OverviewDecisionsComparisonAlternatives

Overview

Gatling
Gatling
Stacks244
Followers318
Votes21
GitHub Stars6.8K
Forks1.2K
k6
k6
Stacks257
Followers226
Votes56

Gatling vs k6: What are the differences?

Introduction: Gatling and k6 are both popular open-source load testing tools used for simulating and measuring the performance of web applications. While they share some similarities, there are key differences that set them apart.

  1. Scripting Language: Gatling is primarily written in Scala and uses Gatling DSL (Domain Specific Language) for script creation. This gives users the advantage of leveraging powerful features of Scala. On the other hand, k6 is written in JavaScript, making it familiar to web developers and easier to adopt for those who are already proficient in JavaScript.

  2. Runtime Environment: Gatling operates in a distributed manner by running simulations on multiple machines or nodes, allowing for increased scalability and higher loads. It uses Akka, a toolkit and runtime for building highly concurrent, distributed, and fault-tolerant applications, to achieve this. In contrast, k6 is designed to run on a single machine, making it simpler to set up and configure for load testing.

  3. Protocols Supported: Gatling provides support for a wide range of protocols including HTTP, WebSocket, JMS, AMQP, SMTP, and more. This versatility enables testing various types of applications and systems. On the other hand, k6 primarily focuses on HTTP, making it a good choice for testing web applications and APIs.

  4. Metrics and Reporting: Gatling provides comprehensive reporting capabilities, offering detailed metrics such as response times, throughput, error rates, and more. It generates HTML reports and provides insights through charts and graphs, aiding in analyzing the test results. In contrast, k6 provides real-time metrics during test execution through the command-line interface and supports output to various formats including JSON and InfluxDB for further analysis and integration with other tools.

  5. Community and Support: Gatling has a large and active community, offering excellent support through forums, documentation, and user-contributed resources. It has been around for a longer time, gaining wider adoption and benefiting from continuous development. k6, though relatively newer, also has an active community and provides support through forums, documentation, and Slack channels.

  6. Plugin Ecosystem: Gatling has a rich ecosystem of plugins that provide additional functionality and integrations with other tools. These plugins cover areas such as reporting, integrations with CI/CD pipelines, and support for specific protocols. In comparison, k6 has a smaller plugin ecosystem but still offers some useful integrations, such as the ability to export metrics to popular monitoring systems.

In summary, Gatling and k6 are both powerful load testing tools, but they differ in terms of scripting language, runtime environment, protocols supported, reporting capabilities, community and support, and plugin ecosystem. The choice between the two depends on specific project requirements and the familiarity of the development team with the respective languages and tools.

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Advice on Gatling, k6

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
k6
k6

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.

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.

Simulating heavy traffic; Load testing as code for CI/CD integration & automation; API Load testing; Automated deployment of load injectors; Response times reports
Written in Go and JavaScript, built to integrate well into the modern developer workflow and automation pipelines; Primarily for load testing, it also works for functional testing of APIs and microservices with its powerful JS ES6 based scripting API; Straightforward CLI, sharing many UX aspects with the DevOps tools you already use
Statistics
GitHub Stars
6.8K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
244
Stacks
257
Followers
318
Followers
226
Votes
21
Votes
56
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
  • 13
    Fits nicely in a CI workflow
  • 11
    It's code-first
  • 11
    Test scripts are written in javascript
  • 11
    Open-source
  • 10
    Easy to use
Cons
  • 3
    Requires bundling and transpiling to use npm packages
Integrations
No integrations available
Kafka
Kafka
Linux
Linux
Grafana
Grafana
InfluxDB
InfluxDB
macOS
macOS
Datadog
Datadog
Debian
Debian
Windows
Windows
JSON
JSON

What are some alternatives to Gatling, k6?

Locust

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

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.

AWS Device Farm

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.

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.

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.

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