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testcritic

Grafana k6 vs Artillery

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

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

Free tier

Free and open source

Open source

What drives the bill

The metric that actually scales your invoice.

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.

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

Free tier

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

Everything, self-hosted

Open source

AGPL-3.0

MPL-2.0

Self-hostable

No-code authoring

Languages

JavaScriptTypeScript
JavaScriptTypeScriptCodeless

Platforms

APIWeb
APIWeb

Fits teams

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

Adoption

Category standard

Grafana Labs · since 2016

Widely used

Artillery Software · since 2015

Strengths

  • 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.
  • 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.

Limitations

  • 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.
  • Serverless distribution requires AWS knowledge and IAM setup.
  • Reporting is basic without exporting to an observability platform.
  • Smaller community than k6 or JMeter.

Best for

Engineering teams that want performance regression tests running in CI.

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

All of these integrate with: GitHub Actions, Datadog.

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