LoadFocus vs Gatling.io

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

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

It boasts features such as Load testing, Stress testing, Scalability testing, API testing, Web performance monitoring, Real browser testing, Geographic load distribution, Customizable load scenarios, Integration with CI/CD tools, Detailed analytics and reporting and pros including Intuitive UI, Flexible pricing options, Good customer support, Easy integration with other tools, Can simulate large user loads, Detailed performance analytics.

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.

LoadFocus

LoadFocus

LoadFocus is a load and performance testing software used to test web and mobile applications under load. It allows developers to identify performance issues and bottlenecks before launching apps to real users.

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

LoadFocus Features

  1. Load testing
  2. Stress testing
  3. Scalability testing
  4. API testing
  5. Web performance monitoring
  6. Real browser testing
  7. Geographic load distribution
  8. Customizable load scenarios
  9. Integration with CI/CD tools
  10. Detailed analytics and reporting

Pricing

  • Free
  • Subscription-Based

Pros

Intuitive UI

Flexible pricing options

Good customer support

Easy integration with other tools

Can simulate large user loads

Detailed performance analytics

Cons

Steep learning curve

Setting up tests can be complex

Limited mobile testing features

Can get expensive 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