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.

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.

Loadrunner

Loadrunner

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.

Categories:
load-testing performance-monitoring concurrency-simulation

Loadrunner Features

  1. Load and performance testing
  2. Web services testing
  3. Mobile app testing
  4. API testing
  5. Database load testing
  6. Network bandwidth simulation
  7. Integrates with CI/CD pipelines

Pricing

  • Subscription-Based
  • Pay-As-You-Go

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

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