Gatling.io vs BlazeMeter

Struggling to choose between Gatling.io and BlazeMeter? 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, BlazeMeter is a Development product tagged with load-testing, performance-testing, web-application-testing, mobile-application-testing, automated-testing.

Its standout features include Load testing, Performance monitoring, API testing, Geographically distributed testing, Real browser testing, CI/CD integration, and it shines with pros like Scalable load testing, Integration with popular CI/CD tools, Geographically distributed testing locations, Detailed performance analytics, Support for multiple protocols and technologies.

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


BlazeMeter

BlazeMeter

BlazeMeter is a performance testing platform for web and mobile applications. It allows users to run automated tests to measure performance and ensure apps can handle heavy load and usage.

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

BlazeMeter Features

  1. Load testing
  2. Performance monitoring
  3. API testing
  4. Geographically distributed testing
  5. Real browser testing
  6. CI/CD integration

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Scalable load testing

Integration with popular CI/CD tools

Geographically distributed testing locations

Detailed performance analytics

Support for multiple protocols and technologies

Cons

Can get expensive for large tests

Limited free tier

Steep learning curve