GATLING VS JMETER
Gatling vs JMeter: the developer-centric upgrade without compromise
JMeter was built for a different era when just a “testing tool” was needed. Gatling is built for the way engineering teams ship today - code-native, integration-ready, AI-powered and built for scale.
Stop maintaining legacy GUI-based tests. Start trusting performance results and make them visible to engineering leaders. The last migration you'll thank yourself for.
A Legacy Test Tool
vs a Continuous Performance Intelligence Platform
Configuration-based tools made sense before CI/CD. Code-native load testing is how modern engineering teams ship with confidence.
JMeter
A testing tool from another era. Your QA's tool, not your team's tool.
Gatling
Performance testing reimagined for how teams build today.
Tests stored as XML, no IDE support
Resource-intensive
at scale
Modern protocols depend on third-party plugins
CI/CD integration requires manual setup
Code-first: Java, JavaScript, TypeScript, Scala, Kotlin
Async engine: millions of Virtual Users on a single machine
Every modern protocol
built in
Native CI/CD integration: GitHub Actions, GitLab, Jenkins, and more
FEATURE HIGHLIGHT
Reduce risk with Gatling.
Welcome to Continuous Performance Intelligence.
Beyond being a robust, modern alternative to JMeter, Gatling offers a complete performance engineering stack for developers, QA, and SRE teams.
AI capabilities
Automated run summaries surface what went wrong without manual analysis. IDE integration, MCP server support, and a JMeter converter bring load testing into the workflows your engineers already use, including the ones still running JMeter scripts.
SLOs and compliance scoring
Define response time and error rate targets directly in Gatling Enterprise Edition. Every run returns a compliance score, not a pass/fail, a precise percentage. JMeter has no equivalent. Know exactly how long your system held the line.
Test as code
Write load test scenarios in Java, JavaScript or Scala. Versioned, reviewed, and living in the same repository as your application. Plug directly into your CI/CD pipeline. No XML. No GUI workarounds.
Performance trends across every release
Track how your system performs over time, not just in isolation. Compare runs, catch regressions before they reach production, and build an auditable performance record. The visibility JMeter never gave you.
jmeter converter
Your JMeter tests, already in Gatling.
Gatling's Migration Assistant converts your existing JMeter test plans into Gatling scenarios automatically. Keep your existing coverage, remove the migration friction, and hit the ground running with a modern testing stack.
Powered by an AI skill available for your AI Coding Assistant: Claud, Cursor, or any compatible IDE.
Gatling vs JMeter
Feature-by-feature comparison
Gatling
JMeter
Edge
Architecture model
and performance
Concurrency model
Resource efficiency
Native protocol support
Community Plugins
Developer experience
Test scripting
IDE support
Learning curve
GitOps
Everything-as-Code
Metrics, Reports
and Dashboard
Canned reports
Export options
Real-time metrics
SLO Management
Performance Scoring
Usage Dashboard
Automations
& Integrations
Public APIs
CI/CD pipeline
Pipeline integration
Assertions & thresholds
Enterprise
& team
Distributed load
Team collaboration
Maintenance overhead
Observability
Native support
Community Plugins
Test Architecture
& Deployment
Load-test-as-a-service (SaaS)
Cloud-based load generators
Hybrid SaaS
Self-managed
load generators
Unified platform
Application
User Experience
Upgrades
MODERN PRactices
Shift-left testing
DevOps
API Testing
Maintainability
AI readiness
Load Test LLMs and AI Apps
AI pair programming
MCP Server
AI Analysis & Insights
Continuous Performance Intelligence
AI-powered Docs
Migration Assistant
Test Campaign Assistant
Product direction
Roadmap
Products & licensing
Organization
Open source
Guarantees
Total cost of ownership
Why engineering teams
switch to Gatling
Three years ago, releasing our core banking system meant days of stress. Today, deployments are stable and invisible to our users.
We first had a dedicated load testing unit working with another load testing tool, but we moved to Gatling Enterprise for two reasons: lower price and project autonomy.
We had to create and maintain our own infrastructure to run JMeter and ghz. With Enterprise, that's handled for us, which saves a lot of engineering time.
We were using homegrown or open-source solutions that were hard to maintain. That pushed performance testing to the back burner; it only ran when absolutely necessary.
With autoscaled generators we stopped maintaining boxes. We likely saved FTEs — now we pay a subscription instead of paying with people's time.
Run comparison is a big one. We used to export CSVs and graphs by hand. Now we compare runs directly and get useful insights in real time.
Before Gatling, going live felt like crossing our fingers and hoping it held. Now we can simulate, measure, and move forward with clarity.
Ready to
make the switch?
See how your existing JMeter tests map to Gatling — and what you gain on the other side.
Your all-in-one load testing platform
Design complex tests, manage global infrastructure, and turn results into action on one powerful platform.
Need technical references and tutorials?
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