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testcritic

Artillery vs Grafana k6

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 source

From $19 per month (Grafana Cloud Pro platform fee; k6 usage is billed on top)

Free tier

What drives the bill

The metric that actually scales your invoice.

Open source and free, including distributed runs on your own AWS account. You pay AWS, not Artillery.

Self-hosted is free and unlimited. On Grafana Cloud the free tier includes 500 virtual-user-hours a month, then k6 bills from $0.150 per virtual-user-hour on top of the $19 Pro platform fee — the VU-hours, not the platform fee, are where budgets go.

Free tier

Everything, self-hosted

The k6 CLI is fully open source with no virtual-user limits when self-run.

Open source

MPL-2.0

AGPL-3.0

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptCodeless
JavaScriptTypeScript

Platforms

APIWeb
APIWeb

Fits teams

StartupScale-up / mid-marketEnterprise
Solo / side projectStartupScale-up / mid-marketEnterprise

Adoption

Widely used

Artillery Software · since 2015

Category standard

Grafana Labs · since 2016

Strengths

  • Distributed load on your own AWS account, so no per-virtual-user vendor pricing at all.
  • Reuses Playwright scripts for browser-level load without rewriting journeys.
  • YAML for simple scenarios, JavaScript when you need real logic.
  • Excellent resource efficiency — thousands of virtual users from one modest machine.
  • Thresholds make performance a build gate rather than a report nobody reads.
  • Native Grafana and Prometheus integration ties load results to server-side metrics.

Limitations

  • Serverless distribution requires AWS knowledge and IAM setup.
  • Reporting is basic without exporting to an observability platform.
  • Smaller community than k6 or JMeter.
  • The JavaScript runtime is not Node — no npm modules unless bundled, which surprises people.
  • Browser-level load testing exists but is much heavier and less mature than protocol-level testing.
  • Distributed execution requires either the cloud product or your own orchestration.

Best for

AWS-native teams that want large-scale load tests without vendor VU pricing.

Engineering teams that want performance regression tests running in CI.

All of these integrate with: Datadog, GitHub Actions.

Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.