GrowthBook alternatives
12 other tools do this job. Which one is right depends on why GrowthBook is not working for you — so start from the reason, not the list.
Why teams leave GrowthBook
- Requires a working data warehouse and someone who can define metrics in SQL.
- Self-hosting is operational work you own.
- Less polished governance and approval tooling than LaunchDarkly.
Worth saying: GrowthBook is genuinely strong at this — warehouse-native by design — no duplicate event pipeline and no data leaving your control. If that is the part you rely on, switching may cost more than it saves.
If cost is the problem
Cheaper than GrowthBook at the entry point, or free outright.
If nobody on the team writes code
GrowthBook expects code; these do not.
Optimizely
A/B & Flags
The original web experimentation platform, now a full digital experience suite.
VWO
A/B & Flags
Experimentation plus heatmaps, replay and surveys in one conversion-optimisation suite.
AB Tasty
A/B & Flags
European experimentation and personalisation platform with strong GDPR positioning.
Kameleoon
A/B & Flags
Experimentation and personalisation with a strong hybrid client/server model.
Everything else in A/B & Flags
Ranked by how widely adopted they are. Compare any two to see the differences that matter.
Feature flags, experimentation and product analytics in one warehouse-friendly platform.
Open-source feature management with a privacy-first, self-hosted architecture.
Open-source feature flags and remote config with straightforward self-hosting.
The enterprise feature-flag platform, with experimentation layered on top.
The original web experimentation platform, now a full digital experience suite.
Experimentation plus heatmaps, replay and surveys in one conversion-optimisation suite.
European experimentation and personalisation platform with strong GDPR positioning.
Simple, cheap feature flags with unlimited team members on every plan.
Experimentation and personalisation with a strong hybrid client/server model.
Privacy-focused A/B testing with unlimited experiments and no data selling.
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