LoadStorm vs Gatling.io

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

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

It boasts features such as Cloud-based load testing, Performance testing for web and mobile apps, Ability to simulate large user loads, Stress testing capabilities, Performance metrics and reporting and pros including Scalable load testing capacity, Intuitive user interface, Detailed performance analytics, Support for multiple protocols and technologies, Integration with CI/CD workflows.

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.

LoadStorm

LoadStorm

LoadStorm is a cloud-based load and performance testing platform for web and mobile applications. It allows users to simulate large volumes of traffic to stress test their applications and measure performance metrics.

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

LoadStorm Features

  1. Cloud-based load testing
  2. Performance testing for web and mobile apps
  3. Ability to simulate large user loads
  4. Stress testing capabilities
  5. Performance metrics and reporting

Pricing

  • Subscription-Based

Pros

Scalable load testing capacity

Intuitive user interface

Detailed performance analytics

Support for multiple protocols and technologies

Integration with CI/CD workflows

Cons

Steep learning curve for advanced features

Limited customization options

No open source or free offering

Requires upload of testing code to their cloud


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