Product teams choose GrowthBook over Optimizely when they want to reduce complexity and cost with a warehouse-native experimentation, feature flags, and product analytics platform.
Product teams choose GrowthBook over Kameleoon when they are ready to scale robust feature flags, advanced experimentation, and powerful product analytics.
- Build experiments faster to run anywhere using developer-friendly design
- Own your experiment data with full transparency and self-hosting options
- Run 5x more experiments at a predictable, transparent price
- Best for marketing teams for personalization and CRO
- Enterprise pricing with many add-on costs
- Cloud-only with usability challenges
GrowthBook’s warehouse-native architecture lowers the cost and complexity of experimentation. Product teams have smarter feature flags and a single source of truth for all their product and experiment data in one platform.
Developer-friendly, full-stack experimentation platform
AI personalization and marketing optimization platform
Designed For
Developers, product teams, analysts
Growth, marketing, and product teams
Primary Use
Test any new feature you build in any platform
Personalization, CRO, and experimentation
Statistical Methods
Bayesian, frequentist, sequential (with CUPED, post-stratification)
Bayesian, Frequentist, sequential testing (with CUPED)
Deployment Options
Cloud or fully self-hosted
Cloud-only
Pricing & Plans
Per-seat pricing with unlimited tests, unlimited traffic
Traffic-based pricing with AI credits and add-ons
Setup Time
Hours
Weeks to months
When experimentation gets complicated and expensive to scale, it’s time to switch to GrowthBook.
Kameleoon customers are switching to GrowthBook to reduce costs, run more experiments faster with full transparency and a developer-friendly platform.
Developer Experience
GrowthBook works best for product teams that want to launch experiments quickly with a modern, developer-friendly platform.
GrowthBook
- Developer-friendly, intuitive environment for fast iteration
- Chrome debugger + visual editor
- Clear documentation, AI chatbot access, and responsive support
- Flexible for both technical and non-technical stakeholders
- 24+ SDKs: JavaScript, React, Node.js, Python, Ruby, Go, PHP, Java, Swift, Kotlin, etc.
Kameleoon
- User-friendly visual editor for marketing tests
- More complex experiment setup and QA requires manual work
- Interpreting more complex results has a steep learning curve
- Visual editing and non-developer workflows are complex
Performance & Scale
GrowthBook is designed for high-velocity experimentation and feature flags used by the largest websites and apps in the world.
GrowthBook
- Run any number of experiments on any amount of traffic
- Low-latency SDKs with rapid rule processing
- Scales from small teams to large enterprises on the same core platform
- 99.999% uptime for high traffic websites and apps
Kameleoon
- Moving data and variables requires manual work
- Many server-side capabilities cost extra
- More overhead as teams expand into full-stack use cases
- No Adobe Experiment Manager integration
Experimentation Depth & Flexibility
GrowthBook gives product teams the ability to test almost anything with complete control and flexibility.
GrowthBook
- Testing types: Supports A/B tests, multivariate tests, redirects, visual editor, and holdouts
- One platform for server-side, client-side, mobile, and edge experiments
- Full-stack coverage: server-side, client-side, mobile, and edge experiments
- Flexible targeting and randomization units user, location, postal code, URL path, etc.
- Statistical frameworks: Bayesian, frequentist, sequential (with CUPED, post-stratification)
Kameleoon
- A/B/n and multivariate testing for CRO and personalization
- Advanced server-side capabilities often require add-ons
- Limited customization capabilities
Feature Flagging & Flag-Based Experiments
GrowthBook helps teams ship and learn faster by unifying feature flags, rollouts, and experiments in one system.
GrowthBook
- World-class feature flags at the core
- Controlled rollouts, gradual exposure, and instant kill switches
- Zero network call SDKs for low latency and high reliability
- Unified system for flags and experiments
Kameleoon
- Feature flags support experimentation and controlled rollouts
- Flags and experiments are managed through separate workflows
- Rollouts and targeting originally designed for marketing-led activation
Transparency & Warehouse-Native Architecture
GrowthBook's architecture is the most cost effective way to keep all your data in one place, with full control and visibility.
GrowthBook
- Bring your data architecture Snowflake, BigQuery, Redshift, Postgres, etc.
- Analyze all your product and experimentation data in one place
- Customize metrics using SQL, use metric libraries, and even add metrics retroactively
- Reproduce and confirm any GrowthBook calculation
Kameleoon
- Analytics and decisioning are platform-managed
- No warehouse native option
- ML and statistical methods are less transparent end-to-end
- BYO models are possible, but full auditability is limited
Privacy, Security & Deployment
GrowthBook works well for industries with strict privacy and compliance requirements, including AI, financial services, healthcare, education, and gaming.
GrowthBook
- Fully self-hosted, air-gapped option for data residency requirements
- Meets strict privacy compliance requirements GDPR, HIPAA, CCPA, SOC 2 Type II certified
- No end-user PII required. Your data stays in your data warehouse
- Open-source code is publicly available for security review on GitHub
Kameleoon
- No fully self-hosted deployment option
- Private cloud and dedicated environments available at additional cost
AI-Ready & Future-Proof
GrowthBook gives teams building AI products the control they need to test and optimize features for better engagement and outcomes.
GrowthBook
- 3 of the 5 leading AI companies use GrowthBook to optimize their chatbots and APIs
- Design highly customized metrics to measure engagement, usage and outcomes
- Tune AI responses per use case with very targeted experiments
- MCP integration for natural language access to GrowthBook directly in IDE Claude Code, Cursor, VS Code
Kameleoon
- AI-personalization capabilities
- Cannot customize or reject variables for automated decisions
- ML-driven decisioning is not fully transparent across all approaches
Cost of Ownership
GrowthBook requires fewer people and resources at 1/5th the cost of Kameleoon.
GrowthBook
- Predictable per-seat pricing with unlimited experiments and unlimited traffic
- Free tier and open source options
- Enterprise self-hosting gives customers flexibility and control
- Warehouse-native architecture means you do not pay twice to capture the same data
Kameleoon
- Traffic-based pricing by monthly users
- Enterprise pricing with frequent add-ons
- Support, onboarding, and training at additional costs
- Many server-side capabilities require separate modules
- Total cost increases as advanced needs are added
What do GrowthBook users say?
"GrowthBook has changed the way we think about experiments... It allowed us to uplevel our code, speed up decision-making, and focus on what we do best."
Diego Accame, Upstart
"Easy set up, extremely powerful and [complete] data transparency."
“Front-end developers can now run experiments without backend modifications, cutting setup time from days to hours.”
Alex Kalish, Dropbox
FAQs
How easy is it to migrate from Kameleoon to GrowthBook?
Migrating from Kameleoon to GrowthBook is straightforward. Teams can integrate an SDK, connect their warehouse, and migrate incrementally while running both systems in parallel.
Does GrowthBook or Kameleoon let you keep experiment data in your own warehouse?
Yes, GrowthBook lets you keep experiment data in your warehouse. GrowthBook runs analysis directly in your data warehouse, while Kameleoon manages analytics inside its own platform.
How does pricing compare between GrowthBook and Kameleoon?
GrowthBook pricing is more predictable and typically easier to scale. GrowthBook uses per-seat pricing with unlimited experiments and traffic, while Kameleoon relies on enterprise pricing with add-ons.
Is GrowthBook better than Kameleoon for product teams?
Yes, GrowthBook is better for product teams running feature experimentation. GrowthBook supports full-stack experiments and feature flags, while Kameleoon is strongest in personalization and experience optimization.
Why do companies choose GrowthBook over Kameleoon for experimentation and A/B testing?
Companies choose GrowthBook to run more experiments with less overhead and more data control. GrowthBook avoids add-on modules and rising enterprise costs as experimentation scales.
What is the main difference between GrowthBook and Kameleoon?
GrowthBook is a warehouse-native platform built for product teams, while Kameleoon focuses more on personalization and CRO. GrowthBook supports full-stack experimentation and feature delivery using your own data.
