GrowthBook / growthbook.io
AI-powered open-source feature flag and A/B testing platform providing statistical experiment analysis, AI-assisted experiment design, and data warehouse-native experiment evaluation.
Pricing
Free
Free plan
Yes
Category
Developer Tools
Platforms
4
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
4
GrowthBook is an open-source feature flag and experimentation platform — providing the statistical analysis framework for A/B experiments and feature flag management for product teams. GrowthBook's key differentiation is its data warehouse-native approach — connecting directly to the team's existing data warehouse (BigQuery, Snowflake, Redshift) for experiment analysis rather than requiring data to flow through a separate analytics service. AI capabilities include AI-assisted experiment design — suggesting appropriate experiment metrics, sample size requirements, and targeting criteria based on the experiment goal. Statistical analysis uses Bayesian and frequentist statistics — providing flexible analysis approaches for different experiment preferences. Visual Editor provides no-code experiment creation for web experiments — marketers and product managers creating A/B tests on web pages without developer involvement for UI changes. Open Source core means teams can self-host GrowthBook — maintaining data in their own infrastructure without sending experiment data to a third-party cloud. SDK support across 15+ languages enables implementation in any technology stack. Warehouse-native analysis is GrowthBook's most distinctive capability — querying experiment data directly in BigQuery or Snowflake rather than copying data to a separate system. With open-source adoption at data-forward companies and startups, GrowthBook validates for teams wanting open-source experimentation with data warehouse native analytics.
GrowthBook AI runs as llm assistant software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, cli, and sdk, with API access for teams that want to embed it into their own products.
The capabilities that matter most for teams evaluating GrowthBook AI.
Experiment queries running directly in BigQuery, Snowflake, or Redshift — no data copying to external systems and analysis using existing data infrastructure.
Free self-hosted deployment with full data control — all experiment data remains in customer infrastructure without third-party data sharing.
Metric selection, sample size, and targeting suggestions — reducing the statistical expertise required to design statistically valid A/B experiments.
Open Source (free self-host). Cloud Starter free. Pro $20/user/month. Enterprise custom.
Model
Open Source
Starting price
Free
Free trial
No
LaunchDarkly (covered) provides the most deployed feature flag platform. Split.io (rank 883) provides commercial experimentation with attribution. Statsig (covered) provides product experimentation. Optimizely (covered) provides web experimentation.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, GrowthBook
Platforms
Web, CLI, SDK, API
Deployment
Open Source, SaaS
Integrations
BigQuery, Snowflake, Redshift, GitHub, Segment, API
Team Collaboration
Yes
Launch Year
2023
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. GDPR compliant. Enterprise data handling agreements.
Experiment metadata processed on GrowthBook cloud or customer self-hosted. Experiment data queried directly from customer data warehouse — GrowthBook does not store raw experiment data.
Editorial Verdict
GrowthBook is the best open-source AI experimentation platform for data-forward teams wanting warehouse-native A/B testing, open-source self-hosting, and AI-assisted experiment design without sending data to third parties.
Last verified July 24, 2026.
Open Source (free self-host). Cloud Starter free. Pro $20/user/month. Enterprise custom.
Free plan (developers). Team from $833/month. Business from $1,667/month. Enterprise custom.
Open-source A/B testing with data warehouse native analytics
AI-assisted experiment design and metric selection
Statistical experimentation for product teams
Feature flag management with open-source option
Bayesian or frequentist experiment analysis flexibility
SOC 2 Type II. GDPR compliant. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements.
Experiment metadata processed on GrowthBook cloud or customer self-hosted. Experiment data queried directly from customer data warehouse — GrowthBook does not store raw experiment data.
Flag configuration and experiment data processed on Split.io cloud. Metric data processed for attribution analysis under applicable data privacy standards.
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