Artillery alternatives
9 other tools do this job. Which one is right depends on why Artillery is not working for you — so start from the reason, not the list.
Why teams leave Artillery
- Serverless distribution requires AWS knowledge and IAM setup.
- Reporting is basic without exporting to an observability platform.
- Smaller community than k6 or JMeter.
Worth saying: Artillery is genuinely strong at this — distributed load on your own aws account, so no per-virtual-user vendor pricing at all. If that is the part you rely on, switching may cost more than it saves.
If cost is the problem
Cheaper than Artillery at the entry point, or free outright.
Locust
Load & Performance
Write load tests as plain Python. Scale by adding workers.
Apache JMeter
Load & Performance
The open-source workhorse: every protocol, a GUI, and twenty-five years of plugins.
Vegeta
Load & Performance
Constant-rate HTTP load testing from the command line, in Go.
autocannon
Load & Performance
One-command HTTP benchmarking for a quick answer about a single endpoint.
If nobody on the team writes code
Artillery expects code; these do not.
Apache JMeter
Load & Performance
The open-source workhorse: every protocol, a GUI, and twenty-five years of plugins.
NeoLoad
Load & Performance
Enterprise performance testing with strong SAP, Citrix and Oracle support.
OpenText LoadRunner
Load & Performance
The original enterprise load-testing suite. Fifty-plus protocols, decades of use.
Everything else in Load & Performance
Ranked by how widely adopted they are. Compare any two to see the differences that matter.
Developer-first load testing: JavaScript scripts, Go engine, CI-native thresholds.
High-performance load testing with a code-first DSL and superb HTML reports.
The open-source workhorse: every protocol, a GUI, and twenty-five years of plugins.
Managed cloud execution for JMeter, Gatling, k6 and Selenium scripts.
Enterprise performance testing with strong SAP, Citrix and Oracle support.
The original enterprise load-testing suite. Fifty-plus protocols, decades of use.
One-command HTTP benchmarking for a quick answer about a single endpoint.
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