GrowthBook

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.

• Open-source feature flagging and A/B testing platform

• Works with existing data warehouse and analytics tools

• Lightweight SDKs for multiple programming languages

• Visual editor for no-code website experiments

• Advanced statistics (Bayesian, Frequentist, CUPED)

• Real-time feature flag updates and targeting

• Enterprise security and compliance features

• Self-hosted or cloud deployment options

• Unlimited experiments and traffic

• Community support and documentation