wrk vs Gatling.io

Struggling to choose between wrk and Gatling.io? Both products offer unique advantages, making it a tough decision.

wrk is a Development solution with tags like benchmarking, load-testing, http, web-server.

It boasts features such as Lightweight and scalable, Simulates multiple concurrent connections, Measures request latency, throughput and errors, Supports HTTP keepalive, Scriptable with LuaJIT, Portable C code with no dependencies and pros including Simple and easy to use, High performance and efficiency, Open source and free, Actively maintained, Good for benchmarking and load testing.

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.

wrk

wrk

wrk is an open-source HTTP benchmarking tool and load testing application. It is used to measure web server performance by simulating concurrent connections to the target server. wrk is lightweight, scalable, and can generate significant load even when run on a single multi-core CPU.

Categories:
benchmarking load-testing http web-server

Wrk Features

  1. Lightweight and scalable
  2. Simulates multiple concurrent connections
  3. Measures request latency, throughput and errors
  4. Supports HTTP keepalive
  5. Scriptable with LuaJIT
  6. Portable C code with no dependencies

Pricing

  • Open Source

Pros

Simple and easy to use

High performance and efficiency

Open source and free

Actively maintained

Good for benchmarking and load testing

Cons

Limited reporting compared to other tools

Less customizable than other options

Only supports HTTP protocol


Gatling.io

Gatling.io

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.

Categories:
load-testing performance-testing scalability-testing

Gatling.io Features

  1. Record and playback - Record user actions and replay them to simulate load
  2. Advanced simulation engine - Flexible scenario definition using Scala based DSL
  3. Multiple protocols - Supports HTTP, WebSocket, JMS and more
  4. Assertions and validations - Validate response content, status codes, timings etc
  5. Interactive HTML reports - Detailed metrics on response time, throughput, failures etc
  6. CLI and Maven plugin - Can integrate with CI/CD pipelines
  7. Cloud scale testing - Integrates with Kubernetes for large scale load tests

Pricing

  • Open Source

Pros

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

Cons

Steep learning curve for Scala DSL

Limited debugging capabilities compared to commercial tools

Lacks some enterprise features like SLA reporting

Not ideal for non-technical users