GrowthBook

Making smart product decisions has never been easier with GrowthBook, an open-source platform that combines feature flagging and A/B testing in one powerful solution. This modern platform helps teams release code safely and measure its impact using their own data.

Unlike expensive tools that require sending all your data to third parties, GrowthBook works with your existing data warehouse and analytics tools. Whether you need to test new features, roll out updates gradually, or analyze experiment results, this platform gives you the flexibility of a custom in-house solution without the cost and complexity of building it yourself.

Perfect for developers, data teams, and product managers, GrowthBook makes experimentation accessible while keeping your data secure and under your control.

GrowthBook is an open-source feature flagging and A/B testing platform designed to help companies release features safely and measure their impact with confidence. Think of it as your complete experimentation toolkit that works with your existing data setup.

The platform combines two essential capabilities: feature flags that let you control who sees new features and when, and A/B testing tools that help you understand which changes actually improve your product. What makes GrowthBook special is its warehouse-native approach - it connects directly to your data sources like BigQuery, Snowflake, or Google Analytics instead of requiring you to send data elsewhere.

Founded in 2021, GrowthBook has grown rapidly and now powers experiments at thousands of companies. You can use it as a hosted cloud service or install it on your own servers for complete control and privacy.

Getting started with GrowthBook is straightforward whether you choose the cloud version or self-hosted option. First, create a free account at growthbook.io or follow their Docker setup instructions for self-hosting.

Setting up your first experiment:

• Connect your data source (BigQuery, Snowflake, Google Analytics, etc.)

• Define your metrics using their visual query builder or SQL

• Create feature flags in the dashboard with targeting rules

• Install the lightweight SDK in your application code

• Start your experiment and monitor results in real-time

Best practices for success:

• Start with simple feature flags before moving to complex experiments

• Use their Visual Editor for website tests that don't require code changes

• Set up proper tracking to ensure accurate data collection

• Review statistical results using their Bayesian or Frequentist engines

• Join their Slack community for support and best practices

The platform remembers your settings and provides detailed documentation to guide you through each step of the experimentation process.

GrowthBook offers comprehensive tools for modern experimentation and feature management. The platform provides unlimited feature flags and A/B tests with advanced targeting capabilities, allowing you to control exactly who sees each variation.

Key features include:

• Multiple statistical engines - Choose between Bayesian, Frequentist, and Sequential testing methods

• Visual A/B test editor - Run website experiments without code changes

• Advanced analytics - CUPED variance reduction, multi-armed bandits, and sticky bucketing

• Data source flexibility - Works with 15+ popular tools like Mixpanel, Segment, and major SQL databases

• Lightweight SDKs - Fast performance with local evaluation in JavaScript, Python, Ruby, and more

• Enterprise security - SOC 2, GDPR compliance, SSO integration, and audit logs

• Real-time updates - Instant feature flag changes with SDK streaming

The platform also supports prerequisite flags, approval workflows, and custom metric libraries. Whether you're running simple feature rollouts or complex multi-variate experiments, GrowthBook provides the tools to make data-driven decisions confidently.

GrowthBook offers flexible pricing designed to scale with your team size, not unpredictable traffic volumes. The platform is available both as a cloud service and self-hosted solution.

Cloud Plans:

• Starter (Free) - Up to 3 users with unlimited traffic, feature flags, and experiments, plus community support

• Pro ($20/user/month) - Everything in Starter plus Visual A/B Test Editor, premium support, advanced analytics, and up to 100 users

• Enterprise (Custom pricing) - Unlimited users with SSO integration, data pipelines, approval flows, and enterprise-level support and training

Self-hosted Plans:

Self-hosted deployments offer the same features as cloud plans but with unlimited users on all tiers. The free self-hosted version includes everything you need to get started, while paid plans add premium features and support.

Enterprise customers receive volume discounts, custom integrations, and dedicated support to meet specific organizational needs.