Loadrunner vs Gatling.io

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

Loadrunner is a Development solution with tags like load-testing, performance-monitoring, concurrency-simulation.

It boasts features such as Load and performance testing, Web services testing, Mobile app testing, API testing, Database load testing, Network bandwidth simulation, Integrates with CI/CD pipelines and pros including Comprehensive load testing capabilities, Scalable to simulate thousands of concurrent users, Integrates with many monitoring and analytics tools, Can test a wide variety of applications and protocols, Mature product with wide adoption.

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

Product Overview

Loadrunner

Description: Loadrunner is a performance testing and monitoring software that is used to test and analyze software applications. It allows you to simulate thousands of users concurrently accessing an application, generate realistic workloads, and identify performance issues.

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

Loadrunner Features

• Load and performance testing
• Web services testing
• Mobile app testing
• API testing
• Database load testing
• Network bandwidth simulation
• Integrates with CI/CD pipelines

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

Loadrunner

Pros

• Comprehensive load testing capabilities
• Scalable to simulate thousands of concurrent users
• Integrates with many monitoring and analytics tools
• Can test a wide variety of applications and protocols
• Mature product with wide adoption

Cons

• Steep learning curve
• Scripting and test creation can be complex
• Limited support for latest web technologies
• Expensive licensing model
• Requires add-ons for full functionality

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

Loadrunner

• Subscription-Based
• Pay-As-You-Go

Gatling.io

• Open Source