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Gatling

Gatling

Continuous performance testing platform for simulating traffic at scale

softwareTesting & QALoad TestingPerformance TestingCI/CD
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Our Verdict

Best for

Teams that need code-based, CI-integrated load testing with AI-assisted result analysis

Skip if

You only need occasional, small-scale load tests and want to avoid per-virtual-user pricing

What is Gatling?

Gatling is a performance and load testing platform that simulates realistic user traffic to help teams find bottlenecks before they reach production. Its open-source Community Edition supports code-based, no-code, and Postman-import test creation, while the Enterprise edition adds AI-powered analysis, distributed load generation, and SLO tracking.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source✅ Yes
api available✅ Yes
key integrationsJenkins, GitHub, GitLab, Datadog, Dynatrace, New Relic

Key Features of Gatling

Tests can be authored as code in JavaScript, TypeScript, or Java, or built without code, or imported directly from Postman collections.
AI-powered analysis automatically flags performance issues and likely root causes after a test run finishes.
Global load generators can simulate millions of concurrent virtual users from multiple regions.
Service Level Objectives let teams define and track pass/fail performance thresholds over time.
CI/CD integrations with Jenkins, GitHub, and GitLab let load tests run automatically on every build.
Observability integrations with Datadog, Dynatrace, and New Relic correlate load test results with backend metrics.
The open-source Community Edition can be run and scripted entirely for free on local infrastructure.

Use Cases for Gatling

1

Pre-release load testing

Simulate peak traffic before a major launch to catch bottlenecks ahead of time.

2

CI pipeline performance gates

Run automated load tests on every build and fail the pipeline if SLOs are breached.

3

API performance benchmarking

Measure response times and throughput of backend APIs under realistic concurrent load.

4

Capacity planning

Determine how much traffic current infrastructure can handle before scaling is needed.

Pros & Cons of Gatling

Pros

  • Strong open-source core with a large existing user community
  • AI-assisted analysis helps non-experts interpret load test results faster
  • Flexible test authoring options including code, no-code, and Postman import
  • Deep CI/CD and observability tool integrations

Cons

  • Enterprise pricing is per-virtual-user and can scale up quickly for large-scale tests
  • Community Edition lacks distributed testing and cloud load generation
  • Steeper learning curve for teams unfamiliar with code-based scenario scripting

Frequently Asked Questions

Is Gatling free?

Yes, the Community Edition is free and open source; the Enterprise edition adds cloud infrastructure and AI analysis starting at EUR 99/month.

What languages can I write Gatling tests in?

Tests can be written in JavaScript, TypeScript, or Java, or created without code.

Can Gatling import Postman collections?

Yes, Postman collections can be imported directly to create load test scenarios.

Does Gatling integrate with CI/CD tools?

Yes, it integrates with Jenkins, GitHub, GitLab, and other common CI/CD systems.

Pricing Overview

View full pricing →
Freemium

Basic

EUR 99

Team

EUR 396

Enterprise

Custom

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About the Product

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Platforms
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Target AudiencePerformance engineers and QA teams testing application scalability under load

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