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Testing · head to head

GrowthBook vs Kameleoon

GrowthBook logo

GrowthBook

Testing

Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse

From
Free
Rated
-
Full reviewWebsite
Kameleoon logo

Kameleoon

Testing

A/B testing and feature experimentation with a hybrid client and server-side engine

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only GrowthBook has a free tier, so it costs nothing to try first.
  • Each has a real cost: GrowthBook warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.; Kameleoon no rate card is published. Reported entry pricing around several hundred euros a month for the limited prompt-based tier comes from third parties rather than Kameleoon, so any budget you build before contacting sales is a guess.
  • They diverge on capability: GrowthBook covers Warehouse-native analysis, Kameleoon covers Visual A/B test editor.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which GrowthBook and Kameleoon actually diverge.

Attributes where GrowthBook and Kameleoon differ
AttributeGrowthBookKameleoon
Starting priceFreeOn request
Pricing modelPer user per monthquote
Free tierYesNo
PlatformsWeb, Self-hosted, DockerWeb, iOS, Android

Identical on both: user rating (Not yet rated), category (Testing).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in GrowthBook

  • Warehouse-native analysis
  • Reusable metric definitions
  • Bayesian and frequentist engines
  • CUPED variance reduction
  • Visual editor
  • Self-hosting
  • Guardrail metrics

Only in Kameleoon

  • Visual A/B test editor
  • Server-side experimentation
  • Anti-flicker engine
  • AI personalisation
  • EU data hosting
  • Shared audiences
  • Statistics options

Both cover

  • Feature flags

What people use each for

The jobs each tool is most often brought in to do.

GrowthBook

  • An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot Kameleoon
  • A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot Kameleoon
  • A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot Kameleoon
  • Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot Kameleoon

Kameleoon

  • A European retailer whose legal team requires EU-hosted experimentation data and has ruled out US-only vendorsnot GrowthBook
  • A team running both marketing page tests and product feature rollouts that wants one results engine rather than two disagreeing onesnot GrowthBook
  • A media site where client-side flicker on a test variant is visibly damaging the reading experiencenot GrowthBook
  • An organisation re-tendering experimentation after Optimizely or VWO pricing changes and wanting an independent European vendornot GrowthBook

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

GrowthBook

  • Warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
  • Metrics are SQL, so a marketing or product team without data engineering support cannot define or fix them, and a badly written metric silently produces a confident wrong answer.
  • Cloud Pro bills per seat and then adds CDN request and bandwidth overages, so a high-traffic site can find the variable component exceeds the seat cost it budgeted for.
  • Self-hosting means you own the Mongo database, the SDK endpoint availability and the upgrade path, and a flag service that is down is a production incident, not an analytics inconvenience.
  • The statistics engine exposes real choices, Bayesian versus frequentist, sequential testing, variance reduction, and the tool will not stop a team that configures them wrongly, so it rewards statistical literacy and punishes its absence.

Kameleoon

  • No rate card is published. Reported entry pricing around several hundred euros a month for the limited prompt-based tier comes from third parties rather than Kameleoon, so any budget you build before contacting sales is a guess.
  • Web experimentation, feature experimentation and personalisation are licensed as separate capabilities, so the unified platform story costs materially more than the entry configuration most buyers are first quoted.
  • The partner and agency ecosystem is concentrated in France and continental Europe; a buyer in North America or Asia will find fewer implementation specialists and less community knowledge than for Optimizely or VWO.
  • The integration catalogue is smaller than the market leaders, so a stack built on less common analytics or CDP tooling may need custom work that a larger vendor would cover natively.
  • Client-side visual testing still carries the structural problems of the approach, including performance cost and single-page-application fragility; the anti-flicker engine reduces the symptom but does not remove the dependency on the DOM staying stable.

Pricing, plan by plan

GrowthBook

Free
  • Open source (self-hosted)Free
    • Unlimited users, feature flags and experiments
    • One project
    • MIT licensed, you run the infrastructure
  • Starter (cloud)Free
    • Up to 3 users
    • 1 project
    • Unlimited flags, experiments and traffic
  • Pro (cloud)$40/month
    • Per seat, up to 50 users
    • 3 projects
    • CDN overage at $10 per million requests beyond the included allowance
  • Enterprise$undefined/year
    • Unlimited users and projects
    • SSO, audit logs and advanced permissions
    • Available on cloud or self-hosted

Kameleoon

On request
  • Kameleoon$undefined/year
    • Priced on monthly tested users and features licensed
    • Web experimentation, feature experimentation and personalisation licensed separately
    • Free trial of the prompt-based experimentation feature, with data not retained afterwards

Which should you pick?

Choose GrowthBook if

  • You need warehouse-native analysis.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want reusable metric definitions.
GrowthBook review

Choose Kameleoon if

  • You need visual a/b test editor.
  • You work on Web, iOS, Android.
  • You also want server-side experimentation.
Kameleoon review

Questions people ask

Is GrowthBook or Kameleoon better?
Neither clearly leads. GrowthBook starts at Free and Kameleoon at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GrowthBook or Kameleoon?
GrowthBook has a free tier; the other does not. Paid plans start at Free for GrowthBook and On request for Kameleoon.
Does GrowthBook or Kameleoon run on more platforms?
GrowthBook runs on Web, Self-hosted, Docker. Kameleoon runs on Web, iOS, Android.
Can I use GrowthBook for free?
Yes. GrowthBook has a free tier, so you can try it without paying. Kameleoon starts at On request.
What is GrowthBook best used for?
GrowthBook is most often used for an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success, a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool, a company with data residency or privacy constraints that cannot send user-level event data to a third-party vendor, running long-tail experiments where sequential testing and cuped shorten the time to a decision on low-traffic surfaces. Of those, an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success and a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool are not what Kameleoon is typically brought in for.
What can GrowthBook do that Kameleoon cannot?
GrowthBook covers Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines, CUPED variance reduction. Kameleoon covers Visual A/B test editor, Server-side experimentation, Anti-flicker engine, AI personalisation. Both handle Feature flags.

Answered from the vendors’ own pages

GrowthBook: Is the self-hosted version actually usable, or crippled?

It is genuinely usable: unlimited users, flags and experiments on one project under an MIT licence. The paid tiers add multiple projects, SSO, audit logs and support.

Kameleoon: Does Kameleoon publish pricing?

No. Pricing depends on monthly tested users and which capabilities you licence, and requires a sales conversation.

GrowthBook: Do I need a data warehouse?

For experiment analysis, effectively yes. Feature flagging works without one, but the reason to choose GrowthBook over a flag-only tool is the warehouse-native statistics.

Kameleoon: Can I keep data in the EU?

Yes. EU hosting and a GDPR-first consent model are among the main reasons European buyers shortlist it.

GrowthBook: How does the cost compare with LaunchDarkly or Optimizely?

GrowthBook charges per seat rather than per monthly active user or per tracked event, so cost stops scaling with traffic. At high volume that difference is large.

Kameleoon: Does it do feature flags as well as A/B tests?

Yes, through server-side SDKs, sharing audiences and results with the visual testing side.

GrowthBook: Does it support mobile and server-side flags?

Yes, there are SDKs across JavaScript, React, Python, Go, Ruby, PHP, Java, Kotlin, Swift and more, covering client, server and mobile evaluation.

Kameleoon: How does it compare with Optimizely?

Similar capability at a smaller scale. Kameleoon's advantages are European data residency and an independent vendor; Optimizely's are ecosystem size and partner availability.

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