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.

Feature	wrk	Gatling.io
Overall Score	N/A	1
Primary Category	Development	Development

Product Overview

wrk

Description: 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.

Gatling.io

Description: 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.

Key Features Comparison

wrk Features

• 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

Gatling.io Features

• 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

Pros & Cons Analysis

wrk

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

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

Pricing Comparison

wrk

• Open Source

Gatling.io

• Open Source