AgileLoad vs Gatling.io

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

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

It boasts features such as Record and replay scripts to simulate user interactions, Generate load by specifying number of concurrent virtual users, Monitor application under test via built-in monitors, Integrates with CI/CD pipelines, Supports testing APIs and web apps, Offers cloud-based and on-premises deployment options and pros including Intuitive interface for scripting, Detailed performance analytics and reporting, Scalable load generation capacity, Integration with popular dev tools like Jenkins, 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.

AgileLoad

AgileLoad

AgileLoad is a load and performance testing tool for web and mobile applications. It allows you to simulate hundreds or thousands of virtual users to test the load capacity and performance of apps and websites.

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

AgileLoad Features

  1. Record and replay scripts to simulate user interactions
  2. Generate load by specifying number of concurrent virtual users
  3. Monitor application under test via built-in monitors
  4. Integrates with CI/CD pipelines
  5. Supports testing APIs and web apps
  6. Offers cloud-based and on-premises deployment options

Pricing

  • Free Trial
  • Subscription-Based

Pros

Intuitive interface for scripting

Detailed performance analytics and reporting

Scalable load generation capacity

Integration with popular dev tools like Jenkins

Free trial available

Cons

Scripting can have a learning curve

On-prem version requires hosting infrastructure

Limited built-in integrations compared to some competitors


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