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Gatling
High-performance load testing framework using an asynchronous architecture and a modern DSL available in Java, Kotlin, and Scala.
About Gatling
Gatling is a highly scalable, code-centric load testing tool built on an asynchronous, non-blocking architecture using Akka and Netty. Designed for developers and CI/CD pipelines, Gatling allows engineering teams to simulate immense traffic spikes and identify performance degradation points with exceptional resource efficiency.
Gatling provides a highly expressive Domain-Specific Language (DSL) that allows testers to write performance scenarios in Java, Kotlin, or Scala. This ensures that load testing configurations remain maintainable and can be version-controlled alongside application code. While the open-source version serves local testing needs, Gatling Enterprise offers a robust management interface and distributed cloud execution capabilities.
Pricing
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Community Edition: $0 Free, open-source engine intended for local execution. Includes core scripting capabilities, multi-protocol support, and basic reporting.
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Basic Plan: €89/month (billed annually) Starter pack for small projects. Includes up to 60,000 Virtual Users (VUs), 1 hour of testing, 1 Load Generator, 2 seats, and community support.
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Team Plan: €356/month (billed annually) Designed for CI/CD integration. Includes up to 180,000 VUs, 5 hours of testing, 3 Load Generators, 10 seats, distributed testing, and standard professional support (3 business day response time).
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Enterprise Plan: Custom Pricing (On Request) Tailor-made solutions featuring custom limits for VUs/hours/Load Generators, unlimited seats, private locations, custom SSO, and premium support (1 business day response time).
Use Cases
- High-concurrency web application load testing
- API endpoint performance validation
- CI/CD performance regression testing
- Distributed geographic load simulation
Pros & Cons
Pros:
- Extremely efficient resource utilization due to asynchronous architecture
- Highly readable and maintainable test scripts via code
- Excellent default HTML reporting capabilities
Cons:
- Steeper learning curve for non-developers
- Advanced real-time reporting and distributed testing locked behind Enterprise tier
Integrations
Jenkins, Maven, Gradle, GitHub Actions, GitLab CI
FAQ
What programming languages can I use to write Gatling tests?
Gatling provides an expressive Domain-Specific Language (DSL) that supports writing tests in Java, Kotlin, Scala, JavaScript, and TypeScript.
Is Gatling open-source?
Gatling offers a free, open-source Community Edition designed for local use. Advanced features like distributed load generation, AI analysis, and CI/CD automation require a paid subscription to Gatling Enterprise.
How does Gatling's pricing work?
Gatling's commercial plans are consumption-based, focusing on the number of testing hours (minutes), maximum Virtual Users (VUs), and the number of load generators used per month.
Can Gatling convert my old JMeter scripts?
Yes, Gatling includes AI-powered converters specifically designed to automatically translate legacy JMeter and LoadRunner scripts into Gatling's modern architecture.
What is the Gatling MCP Server?
The Gatling MCP (Model Context Protocol) Server allows developers to connect AI coding agents (like Claude Code or Cursor) directly to Gatling Enterprise, enabling them to configure and deploy load tests directly from their IDE.
Does Gatling integrate with monitoring tools?
Yes, Gatling natively integrates with major observability platforms like Datadog, Dynatrace, New Relic, and OpenTelemetry to correlate load metrics with application performance.
Last edited
October 27, 2026 at 10:19 AM by Venkatraman Chandrasekaran
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