GrowthBook is an open-source feature flagging and A/B testing platform that integrates directly with existing SQL-based data warehouses, allowing companies to release features and measure their impact using their own data. By providing a customizable and transparent solution, GrowthBook enables teams to run experiments efficiently while maintaining full control over their data security and infrastructure.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DTFounders
Product
Problem
Many companies struggle to effectively measure the impact of new features and product changes due to limitations in existing A/B testing platforms. These platforms often lack transparency, require significant engineering resources, and may not integrate seamlessly with existing data infrastructure, hindering efficient experimentation.
Solution
GrowthBook offers an open-source feature flagging and A/B testing platform that directly integrates with SQL-based data warehouses, empowering companies to measure the success of product changes using their own data. The platform provides a customizable and transparent solution, enabling teams to run experiments efficiently while maintaining full control over data security and infrastructure. By leveraging existing data and metrics, GrowthBook allows for more sophisticated analysis and trustworthy results.
Target Audience
GrowthBook is designed for engineering, data science, product management, and marketing teams seeking to implement a culture of experimentation and optimize product performance.
Features
- Direct integration with existing data warehouses via SQL for flexible metric definition
- Open-source platform for complete data transparency and control
- Lightweight SDKs (JavaScript, Python, Ruby, PHP) for fast load times and optimal user experience
- Feature flagging and A/B testing capabilities within a single platform
- Visual Editor for no-code website A/B testing
- Bayesian and Frequentist statistical engines for robust experiment analysis
- Configurable metric library to customize GrowthBook to specific needs
- Real-time feature flag evaluation with customizable caching for uptime and resiliency