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testcritic

Kameleoon vs LaunchDarkly

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 $495 per month (PBX Starter: 10 experiments, 50k tested visitors)

Trial only

Free tier available

Free tier

What drives the bill

The metric that actually scales your invoice.

Kameleoon now publishes an entry price. Above Starter it is priced by traffic and modules on a custom quote.

LaunchDarkly has dropped per-seat pricing: Developer is free with unlimited seats, and Foundation is pay-as-you-go on service connections and client-side monthly active users with no platform or seat fee. High-traffic consumer products still get expensive, but now through MAU rather than seats. Enterprise is quote-based.

Free tier

30-day trial, no card, up to 3 experiments.

Developer plan is free forever with unlimited seats.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptPythonJavaC#PHPGoCodeless
JavaScriptTypeScriptPythonJavaC#GoRubyPHPSwiftKotlin

Platforms

WebAPIiOSAndroid
WebAPIiOSAndroidDesktop

Fits teams

Scale-up / mid-marketEnterprise
Scale-up / mid-marketEnterprise

Adoption

Established

Kameleoon · since 2012

Category standard

LaunchDarkly · since 2014

Strengths

  • Genuinely good hybrid model — the same experiment can run client- and server-side.
  • Effective anti-flicker implementation.
  • EU hosting with healthcare-grade compliance options.
  • Extremely reliable flag delivery with offline fallbacks — this is infrastructure you can trust in the request path.
  • Best-in-class governance: approval workflows, audit logs, role-based access.
  • Code references and stale-flag detection actually help you remove dead flags.

Limitations

  • Smaller market presence outside Europe.
  • Only the entry tier is priced publicly; everything above it is a sales conversation.
  • Fewer third-party integrations than Optimizely.
  • Still the expensive option once client-side MAU volume is real, even after the move off per-seat pricing.
  • Experimentation is competent but less sophisticated than dedicated statistics platforms.
  • Usage-based billing on service connections and MAU is harder to forecast than a seat count.

Best for

European enterprises needing both marketer and developer experimentation under GDPR.

Engineering organisations where flags are critical infrastructure and governance is required.

All of these integrate with: Segment.

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