Vegeta vs Gatling
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Free and open source
Open sourceFrom €89 per month (indicative, Enterprise Cloud entry)
Free tierWhat drives the bill
The metric that actually scales your invoice.
Free and open source. You pay in engineering time and CI minutes.
Open source is free; Enterprise adds distributed injectors and reporting, billed by virtual-user-hours.
Free tier
Everything, self-hosted
Gatling open source is complete for single-machine load generation.
Open source
MIT
Apache-2.0
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Established
OSS community · since 2013
Widely used
Gatling Corp · since 2012
Strengths
- Constant-rate model avoids the coordinated-omission problem that distorts VU-based tools.
- Single static binary, trivial to run anywhere.
- Composable output for scripting and pipelines.
- Very high throughput per load generator thanks to the async architecture.
- Code-first scenarios that review, diff and refactor properly.
- The default HTML report is genuinely good enough to hand to a stakeholder.
Limitations
- No scenarios or session state — one target list, one rate.
- No GUI or built-in reporting beyond plots.
- Go library usage required for anything sophisticated.
- Historically Scala-first; the Java and JavaScript DSLs are newer and less documented.
- Fewer protocols than JMeter.
- Distributed load without the enterprise product means building your own orchestration.
Best for
Backend engineers who want rigorous constant-rate measurements of an endpoint.
JVM teams wanting code-first performance tests with excellent reporting.
All of these integrate with: GitHub Actions.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.