In this article we will see difference between Locust vs Jmeter vs Gatling. Comparing Locust, JMeter, and Gatling: Choosing the Right Load Testing Tool for Your Needs.
- Locust: “Locust is a Python-based, highly scalable, and event-driven load testing tool known for its simplicity and ability to simulate large numbers of concurrent users.”
- JMeter: “JMeter is a widely-used Java-based performance testing tool that offers a versatile and extensible platform for load testing web applications, databases, and more.”
- Gatling: “Gatling is a powerful, Scala-based load testing tool with a focus on asynchronous, event-driven architecture, providing high performance and real-time metrics for modern applications.”
| Criteria | Locust | JMeter | Gatling |
|---|---|---|---|
| Language | Python | Java | Scala |
| Concurrency Model | Asynchronous (event-driven) | Thread-based (synchronous) | Asynchronous (event-driven) |
| Ease of Use | Easy to learn and write due to Python syntax | GUI-driven, may require scripting for complex scenarios | Code-driven, requires Scala familiarity |
| Protocol Support | HTTP, WebSocket | HTTP, HTTPS, SOAP, REST, FTP, JDBC, JMS, LDAP, SMTP, etc. | HTTP, WebSocket, Server-sent events (SSE), JMS |
| Scalability | Highly scalable due to asynchronous nature | May have limitations with high user loads | Scalable with good support for high loads |
| Community & Support | Growing community, active development | Large and established community, extensive documentation | Active community, continuous development |
| Reporting & Analysis | Basic HTML and CSV reports | Rich reporting with graphs and dashboards | Real-time metrics with built-in reports |
| Extensibility & Plugins | Supports Python libraries | Extensive library of plugins and extensions | Limited plugin support, but extensible with Scala |
| Customization | Highly customizable with Python | Customizable with Java and BeanShell scripting | Extensible with Scala, can create custom modules |
| Scripting & Recording | Code-based scripting | GUI-based recording and scripting capabilities | Code-based scripting with DSL (Domain-Specific Language) |
| Load Distribution | Supports distributed testing | Supports distributed testing | Supports distributed testing |
| Operating System | Cross-platform (Windows, macOS, Linux) | Cross-platform (Windows, macOS, Linux) | Cross-platform (Windows, macOS, Linux) |
| License | Open Source (MIT License) | Open Source (Apache 2.0 License) | Open Source (Apache 2.0 License) |
