Performance Testing · Reviewed 19 Oct 2026

Gatling

Gatling is a load testing platform for developers and teams.

free tier · gatling.io ↗

Paid against free › Performance Testing › Gatling

Overview

01

Summary

The useful answer before the supporting detail.

Gatling is a load testing platform that helps developers and teams create, run, and analyze performance tests S7. It solves the problem of load testing being hard to scale, disconnected from workflows, and limited by outdated tools S7. The platform offers code-based and no-code test creation, CI/CD integration, and AI-powered analysis to help teams shift from reactive firefighting to predictive performance engineering S7.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Gatling is a load testing platform from Gatling Corp, evolving from an open-source project into a global platform S1.
  • Core purpose: It solves the problem of load testing being hard to scale, disconnected from workflows, and limited by outdated tools S7.
  • Intended users: Developers, QA teams, and enterprises S1.
  • Product scope: It is a full platform, not a single app, including Enterprise Edition, MCP Server, SLOs, AI Analysis, and automation features S1 S17 S23 S30 S39.
  • Positioning: Gatling positions itself as a platform that makes load testing smarter, more accessible, and fully integrated into software delivery S7.
  • Claimed distinction: It claims to shift teams from reactive firefighting to predictive performance engineering S7.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
DevelopersCreate and run load tests as code, integrated into CI/CD pipelines S7 S39.
QA teamsUse no-code tools and visual editors to create and manage load tests S7.
Engineering managersDefine and track SLOs to ensure performance compliance S23.
DevOps teamsAutomate load testing infrastructure and integrate with monitoring tools S39 S7.

Features

04

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Code-based test creationCreate load tests using Java, Kotlin, JavaScript, TypeScript, or Scala SDKs S7 S39.
No-code test creationUse Recorder, Postman imports, or Gatling Studio to create tests visually S7 S159.
CI/CD integrationIntegrate load testing into CI/CD pipelines to run tests automatically as part of builds S39.
AI-powered analysisGet AI-generated insights, trend analysis, and recommendations from test results S30.
SLO trackingDefine and track Service Level Objectives (e.g., p95, p99, error ratio) on load test runs S23.
MCP ServerConnect coding agents like AI modelCode or Cursor to Gatling Enterprise Edition to manage tests via natural language S17.
Automated infrastructure provisioningProvision load testing infrastructure using Terraform, Helm, AWS CloudFormation, and AWS CDK S39.
Observability integrationsConnect load tests to OpenTelemetry, Prometheus, Datadog, Dynatrace, New Relic, and InfluxDB S7 S39.
05

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
CI/CD pipelinesIntegrationRun load tests automatically as part of builds S39.
Terraform, Helm, AWS CloudFormation, AWS CDKIntegrationProvision load testing infrastructure as code S39.
Datadog, Dynatrace, New Relic, InfluxDBIntegrationSend load test data to monitoring tools S39.
OpenTelemetry, PrometheusIntegrationConnect load tests to observability stacks S7.
Slack, Microsoft Teams, webhooksIntegrationSend automated notifications about test results S39.
Public APIsAPITrigger downstream actions and manage simulations programmatically S39.
MCP ServerAI interfaceConnect coding agents like AI modelCode and Cursor to Gatling Enterprise Edition S17.
SDKs (Java, Scala, Kotlin, JavaScript, TypeScript)SDKCreate and manage load tests programmatically S39.

Pricing

06

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Basic€89 per month billed annually, or €99 monthly S1Up to 60,000 VUs; 1 hour of testing S1Starter pack S1
Team€356 per month billed annually S1Up to 180,000 VUs; 5 hours of testing S1Distributed testing, CI/CD S1
EnterpriseOn request S1Custom VUs and hours S1Premium support S1
Free trialFree trial S1Not establishedNot established

Trust and proof

07

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Software AdviceGatling Enterprise Software Reviews, Demo & Pricing - 2026Grounded web searchRatings Breakdown - 4.50 Ease of use - 5.0 Value for money - 4.0 Customer support - 4.50 Functionality ... ## Gatling Enterprise User Reviews Overall Rating 5.0 ... - Gatling dedicated language provides convenient way to implement load test scenarios - The ability to choose and mix the injector locations (AWS EC2 regions) is really great when it deals with a product used world wide. - Great real-time reporting The tests must be implemented in Scala using the Gatling SDL language. Sometimes the s

Customer proof

Proof typeNamed customer or sourceEvidence
TestimonialCriteotestimonial — Our job has been to ensure a high level of performance from Criteo’s tech stack and that’s why we chose Gatling. (Gatling — Continuous Performance Intelligence, powered by AI)
Case studyHoughton Mifflin Harcourtcustomer case study — and maintain tests. (Gatling customer story: Houghton Mifflin Harcourt)
Case studyIntuitcustomer case study — If you wanted to drive hundreds of thousands of transactions per second, it's not a hard thing to achieve in Gatling. (How Intuit runs 80,000+ load tests a year, without a specialist team / Gatling)

Independent mentions

  • Ask HN: Which load testing tool do you use? Any recommendations? / Hacker News — I like to use https://gatling.io/ for my load testing. It's super easy and you get pretty charts you can hand off to management. willejs on Nov 19, 2017 / parent / next – ... Gatling is great, and the best thing to use if you want performance and fine grained analysis. It's easy to use, great html output with graphs. You can also output to a bunch of other formats, and easily break out into scala. Don't let the scala put you off though, its mostly a really simple and clean dsl. The docs are go
  • Companies that trust Gatling — ### 4,3/5 on G2 Rated by verified users for reliability, scalability, and ease of integration, proving Gatling’s ability to deliver enterprise-grade load testing at massive scale. ... testing in JS. It gave us visibility into key metrics we can
  • Load Testing: An Unorthodox Guide / Hacker News — I am also ... https://gatling.io/ Gatling is one among the load test tools people need to give a shot. It uses akka for generating asynchronous loads. And it's good from a programmer standpoint since load test scripts can be programmed and maintained as any other script.
  • Gatling customer stories: TUI — can now monitor the performance of their services continuously. This allows for quick identification and resolution of any ... - Scalability: Gatling’s ability to generate high loads (over 100,000 requests per second) has proven crucial for stress
  • Gatling customer stories: LoginRadius — - P95 latency reduced from 500ms to under 250ms - Confidence in each release with tests baked into CI/CD - Failures surfaced ... - Reduced performance regression issues in production by over 80% - Performance testing became part of the sprint, not
  • Gatling customer stories: InPost — moving from checkout to locker pickup—often within a day in Poland ... > “Observability is a culture here. If you want to ship code, you need to understand performance and how your services behave.” Mateusz Piasta, Site Reliability Engineer, InPost

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

08

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipWhat started as an open-source project in 2011 is now a global platform trusted by 300,000+ organizations. And at the heart of it all is our team: ambitious, collaborative, and driven to make performance testing accessibsource
Contact and supportPlease, contact our sales team. Each plan comes with a base amount of consumption (minutes of testing, load generators, users...) included in the price. Your account will not be blocked if you go over that base consumptisource
Legal and privacyThey help us understand how you use our site so we can make it better, and they let us remember your preferences. For details, see our Privacy Policy.source
Security and complianceNew: pilot Gatling Enterprise Edition from your coding agent with the MCP Server. Learn more Live session: register for the next Gatling Enterprise demo Save my seat New: Distributed tracing is now availablesource
Uptime and status pageNot published on the collected pages.—

Not found on the collected pages: uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

09

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Session - How to plan high-scale load testingGuideAccess our session on the topic: How to plan high-scale load testing (source)Not dated
Gatling pricing: Flexible plans for scalable load testingRoadmapPublic product roadmap. (source)Not dated
Private Packages / Gatling BlogProduct updateProduct update is publicly available. (source)November 2022

Not found in the collected public sources: changelog or release notes, status page, separate help center or knowledge base.

Technical

10

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Gatling Enterprise Edition can be deployed in the cloud, on your cloud, or on your own servers S159.S159
Platforms and appsGatling is a web-based platform; no desktop or mobile apps are mentioned S7.S7
API and extensibility (API, SDK, webhooks, MCP, plugins)Provides public APIs, SDKs for Java, Scala, Kotlin, JavaScript, TypeScript, webhooks, and an MCP server S39 S17.S39 S17
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsClaims to generate millions of virtual users and scale tests globally or privately S159.S159
Release activityNot published on the collected pages.—
11

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
First archived2014-08-03 — web archive
TLS certificateGoogle Trust Services, valid, expires 2026-11-27
Security headersHSTS
Headers not servedCSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headercloudflare
Mail handled byaspmx.l.google.com, alt2.aspmx.l.google.com
Nameserversns-211-c.gandi.net, ns-29-a.gandi.net

Not measurable: rdap: no RDAP server published for .io; rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

Limits and method

12

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors. Evidence gaps include lack of detailed security certifications, uptime guarantees, and data export options. Pricing details for the Enterprise plan are not published. The free tier is not offered, only a free trial S1.

13

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from gatling.io, including product pages, about page, and pricing page. The evidence catalog includes static and rendered pages, with external proof search used for verification. Limitations: some pages may not have been fully captured, and external search results were not used as primary evidence.

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