Gatling.io vs AppPerfect Load Test

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

Gatling.io is a Development solution with tags like load-testing, performance-testing, scalability-testing.

It boasts features such as 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 pros including 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.

On the other hand, AppPerfect Load Test is a Development product tagged with load-testing, performance-testing, web-application-testing, mobile-application-testing, scalability-testing.

Its standout features include Simulate hundreds or thousands of concurrent virtual users, Test web and mobile applications, Measure application performance metrics like response time, throughput, and errors, Identify performance bottlenecks, Integrate with popular CI/CD tools, Record and playback user scenarios, Real-time monitoring and reporting, and it shines with pros like Comprehensive load testing capabilities, Easy to use and configure, Supports a wide range of protocols and technologies, Scalable to handle large user loads, Detailed reporting and analytics.

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.

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


AppPerfect Load Test

AppPerfect Load Test

AppPerfect Load Test is a load and performance testing tool for web and mobile applications. It allows you to simulate hundreds or thousands of concurrent users to test application performance and behavior under load. Useful for capacity planning, scalability testing, and identifying bottlenecks.

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

AppPerfect Load Test Features

  1. Simulate hundreds or thousands of concurrent virtual users
  2. Test web and mobile applications
  3. Measure application performance metrics like response time, throughput, and errors
  4. Identify performance bottlenecks
  5. Integrate with popular CI/CD tools
  6. Record and playback user scenarios
  7. Real-time monitoring and reporting

Pricing

  • Subscription-Based

Pros

Comprehensive load testing capabilities

Easy to use and configure

Supports a wide range of protocols and technologies

Scalable to handle large user loads

Detailed reporting and analytics

Cons

Limited free trial period

Can be expensive for larger organizations

Steep learning curve for complex scenarios