Struggling to choose between k6 and Gatling.io? Both products offer unique advantages, making it a tough decision.
k6 is a Development solution with tags like load-testing, performance-testing, web-application-testing.
It boasts features such as Scripting in JavaScript, Virtual users, HTTP, gRPC, WS protocols, Metrics and checks, Cloud execution, CLI and API and pros including Open source, Easy to use, Integrates with CI/CD, Scalable.
On the other hand, Gatling.io is a Development product tagged with load-testing, performance-testing, scalability-testing.
Its standout features include Record and playback - Record user actions and replay them to simulate load, Advanced simulation engine - Flexible scenario definition using Scala based DSL, Multiple protocols - Supports HTTP, WebSocket, JMS and more, Assertions and validations - Validate response content, status codes, timings etc, Interactive HTML reports - Detailed metrics on response time, throughput, failures etc, CLI and Maven plugin - Can integrate with CI/CD pipelines, Cloud scale testing - Integrates with Kubernetes for large scale load tests, and it shines with pros like Open source and free to use, Powerful Scala based DSL for flexible test scenarios, Good documentation and active community support, Integrates well with CI/CD pipelines, Detailed HTML reports for analysis.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
k6 is an open-source load testing tool for testing the performance of web applications. It is scriptable in JavaScript and aims to provide an easy way to simulate realistic user traffic for load testing.
Gatling.io is an open-source load and performance testing framework based on Scala, Akka and Netty. It allows users to simulate load on a system and analyze overall performance under various user loads. Gatling is used for testing APIs, microservices and web applications.