CloudTest vs Gatling.io

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

CloudTest is a Online Services solution with tags like load-testing, performance-testing, web-application-testing, mobile-application-testing, analytics, automation.

It boasts features such as Cloud-based load and performance testing platform, Simulate large volumes of traffic against web and mobile applications, Intuitive user interface, Automation capabilities, Detailed analytics reporting and pros including Cloud-based solution, no infrastructure to manage, Scalable to handle large user loads, Detailed performance metrics and analytics, Supports web and mobile app testing.

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.

CloudTest

CloudTest

CloudTest is a cloud-based load and performance testing platform that allows users to simulate large volumes of traffic against web and mobile applications. It features an intuitive user interface, automation capabilities, and detailed analytics reporting.

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

CloudTest Features

  1. Cloud-based load and performance testing platform
  2. Simulate large volumes of traffic against web and mobile applications
  3. Intuitive user interface
  4. Automation capabilities
  5. Detailed analytics reporting

Pricing

  • Subscription-Based

Pros

Cloud-based solution, no infrastructure to manage

Scalable to handle large user loads

Detailed performance metrics and analytics

Supports web and mobile app testing

Cons

Ongoing subscription costs

Limited customization options

May require technical expertise to set up and configure


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