Loadster vs Gatling.io

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

Loadster is a Development solution with tags like load-testing, performance-testing, web-application-testing.

It boasts features such as Record and replay scripts to simulate user journeys, Stress test web apps by generating high user loads, Monitor response times, errors, and other metrics, Geographically distributed load generation, Automatically scale up tests to thousands of users, APIs for integrating with CI/CD pipelines, Customizable reporting and analytics and pros including Intuitive UI and workflows, Powerful scripting for advanced tests, Good for testing high traffic web apps, Integrates well with other tools, Free trial available.

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.

Loadster

Loadster

Loadster is a load and performance testing tool for web applications. It allows you to simulate traffic to your website or application to test how it performs under different user loads. Useful for optimizing and ensuring your app can handle expected traffic.

Categories:
load-testing performance-testing web-application-testing

Loadster Features

  1. Record and replay scripts to simulate user journeys
  2. Stress test web apps by generating high user loads
  3. Monitor response times, errors, and other metrics
  4. Geographically distributed load generation
  5. Automatically scale up tests to thousands of users
  6. APIs for integrating with CI/CD pipelines
  7. Customizable reporting and analytics

Pricing

  • Free
  • Freemium
  • Subscription-Based

Pros

Intuitive UI and workflows

Powerful scripting for advanced tests

Good for testing high traffic web apps

Integrates well with other tools

Free trial available

Cons

Steep learning curve

Scripting requires coding knowledge

Limited analytics in free version

Can be resource intensive for large tests


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