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GrowthBook

GrowthBook

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.

growthbook.ioNew York, New York, United StatesFounded 2020

Last updated May 11, 2026

Industry
Product Experimentation and Feature Management
Business Model
Open-Source SaaS
Target Market
Mid-Market and Enterprise
Employee Count
11-50
Funding
$2.3M
API Available
Yes
Market Position

Emerging open-source alternative in the feature flagging and experimentation platform market

Overview

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.

Products & Features

Feature Flags

Manage feature rollouts with targeting rules, gradual rollouts, and kill switches for safe deployments

A/B Testing

Run experiments with statistical analysis, multiple variations, and integration with existing data warehouses

Visual Editor

No-code visual editor for creating experiments without engineering involvement

SDK Suite

SDKs for multiple programming languages enabling easy integration into applications

Key Features
Open-source core platformWarehouse-native architectureReal-time feature flaggingBayesian and Frequentist statisticsVisual experiment editorMulti-variate testingTargeting and segmentationMetric analysis and reportingSelf-hosting optionGitOps workflow support
Use Cases
Progressive feature rolloutsA/B testing product changesExperimentation on marketing campaignsPersonalization and targetingRisk mitigation for deploymentsData-driven product decisionsMulti-variate testingConversion rate optimization
Customer Segments
Engineering teamsProduct teamsGrowth teamsData-driven organizationsSaaS companiesE-commerce platformsPrivacy-conscious enterprises

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