TOOL SIGNAL / ACTIVE

Gatling

Gatling Corp.

Load Testing Open Source Self-hosted ✓ pick
Pricing model
Free open-source core; commercial platform available.
First released
2012
Latest release
3.0.2
Last verified
Answer

Gatling is a high-performance load testing platform designed for developers and teams, providing continuous performance intelligence and automated load testing capabilities throughout the software lifecycle.

About

Gatling is a high-performance load testing platform designed for developers and teams, providing continuous performance intelligence and automated load testing capabilities throughout the software lifecycle.

Best for

  • Load Testing scenarios across typical web and service stacks
  • Teams that prefer open-source licensing and self-hosting options
  • Groups comfortable scripting in Java, Scala, Kotlin

Not the best fit when

  • Teams unwilling to operate generators, results storage, and scaling

Architecture and concurrency

Gatling is commonly operated as self-hosted software with scenario authoring in Java, Scala, Kotlin. Concurrency and distribution depend on how you size workers or injectors.

Compare and alternatives

Features

  • Code-based test creation using SDKs for Java, JavaScript, TypeScript, Scala, and Kotlin
  • Protocol-agnostic load engine with built-in HTTP and JMS support
  • Asynchronous, event-driven architecture for high-concurrency simulation with minimal resource usage
  • CI/CD integration for automated testing workflows
  • Distributed load injection on-demand across cloud or on-prem environments
  • Visual test builder and HTTP recorder for simplified test creation
  • Enterprise features including real-time dashboards, team collaboration, and automated infrastructure provisioning

AI features

  • AI-assisted test writing, explanation, and optimization in IDEs via VS Code extension
  • Gatling MCP Server and Skills for integrating with AI coding agents like Claude Code or Cursor

Latest release

3.0.2 · July 2026

Introduced Gatling MCP server update for integrating with AI coding agents.

Pricing

Gatling offers a free Community Edition. Gatling Enterprise Edition pricing is available via tiered plans including Starter-pack options (e.g., €89/month billed annually) and custom tailormade solutions; contact sales for specific needs.

Specs

Sources

SHOW SOURCES

LAST VERIFIED · 2026-08-11 · GROUNDED VIA EXA · CURATED BY NAVEENKUMAR NAMACHIVAYAM

Frequently asked

ANSWER-SHAPED
Who is Gatling for?

Gatling is best for engineers designing load, stress, and performance tests for web and service systems. It is open source, so teams can self-host and extend it. Vendor: Gatling Corp.. Deployment model: self-hosted. Free open-source core; commercial platform available. Confirm details against the official site and a short proof-of-concept in your environment.

How does Gatling differ from Apache JMeter?

Compared with Apache JMeter, scripting centers on Java, Scala, Kotlin rather than Java, Groovy. Gatling lists protocols HTTP, HTTPS, WebSocket, SSE, JMS; Apache JMeter lists HTTP, HTTPS, JDBC, JMS, FTP, TCP. Status is active versus active. Use the Test Rig to compare full specs side by side before a proof-of-concept.

What scripting language and concurrency model does Gatling use?

Gatling uses Java, Scala, Kotlin for scripting or scenario definition. Runtime model: code-first scenarios where virtual users execute scripted behavior under load. OS support: Windows, macOS, Linux. Protocols: HTTP, HTTPS, WebSocket, SSE, JMS. Match these to how your team already authors tests and which systems you must drive under load.

What is the cloud or enterprise path for Gatling?

Gatling is primarily self-hosted; teams typically run generators on their own machines, CI runners, or private cloud. Plan for generator capacity, network access to targets, and result storage yourself. As open source, commercial support or hosted siblings may exist separately. Check the official site. Pricing note: Free open-source core; commercial platform available.

What are known limitations of Gatling?

Gatling limitations to weigh: self-hosted tools require you to provision, scale, and observe load generators yourself. Status: active. Always validate against your target protocols and scale with a proof-of-concept. Confirm details against the official site and a short proof-of-concept in your environment.