Open-source, warehouse-native experimentation platform that gives teams full control over their data while enabling fast feature rollouts and rigorous A/B testing without vendor lock-in.
Last updated Feb 8, 2026
Emerging open-source alternative in the feature flagging and experimentation platform market
GrowthBook is an open-source platform that combines feature flagging and A/B testing capabilities, enabling engineering and product teams to manage feature rollouts and run experiments with data-driven insights. Founded as a developer-first solution, GrowthBook distinguishes itself by offering a self-hosted option alongside its cloud service, giving organizations full control over their experimentation data while integrating with existing data warehouses like Snowflake, BigQuery, and Redshift. While not strictly an AdTech company, GrowthBook serves the broader product optimization and experimentation space that overlaps with digital marketing and growth optimization. The platform has gained traction among engineering-focused organizations seeking an alternative to proprietary experimentation platforms, offering both a free open-source version and commercial cloud hosting with enterprise features. GrowthBook's approach of connecting directly to existing data infrastructure rather than requiring data to flow through their servers has resonated with privacy-conscious organizations and those with complex data requirements. The company competes in the feature management and experimentation platform market alongside established players while carving out a niche with its open-source model and warehouse-native architecture.
Manage feature rollouts with targeting rules, gradual rollouts, and kill switches for safe deployments
Run experiments with statistical analysis, multiple variations, and integration with existing data warehouses
No-code visual editor for creating experiments without engineering involvement
SDKs for multiple programming languages enabling easy integration into applications