Statsig not working out?
Switch to GrowthBook

As the most popular open-source feature flagging and experimentation platform, GrowthBook is a great alternative to Statsig.
Have a question? Contact us

Why data-driven teams choose GrowthBook

Open Source Flexibility and Control

GrowthBook is open source, which means you can run it on-premise or in your own cloud environment. This model grants your team complete visibility and control—no vendor lock-in, and the flexibility to adapt the platform to your unique needs.

Transparent Data and Analysis

GrowthBook integrates with your existing data warehouse, creating a single source of truth. We expose all SQL in our analyses and let you export everything to a Jupyter notebook for deeper investigation or custom modeling.

Data Privacy and Security

GrowthBook keeps your data private by avoiding third-party storage, enhancing security. You can even host GrowthBook on premise, so you can meet strict compliance requirements and maintain data sovereignty of your sensitive data.

Predictable, Flexible Pricing

Choose from a fully free, open-source version or one of our paid tiers—either way, you’ll benefit from clear, predictable costs. You can scale experiments without worrying about hidden fees or escalating usage-based pricing.

Customizable

GrowthBook’s open architecture and robust APIs lets you seamlessly integrate any tools, analytics pipelines, and data workflows. Tailor GrowthBook with custom metrics, specialized data ingestion, or unique targeting rules.

Proven Reliability and Rapid Evolution

GrowthBook is backed by a vibrant open-source community. This collective ecosystem drives frequent releases, ensures rapid issue resolution, and offers a network of peers and contributors for continuous learning and support.

GrowthBook vs. Statsig

Many more differences exist between GrowthBook and Statsig, and both are great tools. Try GrowthBook yourself to see how they compare.

Platform

Feature Flagging
Decouple feature deployment from release, and easily turn on/off features‍
Advanced Targeting
Target features to specific users or based on specific attributes
Experimentation
Easily create A/B tests based on features
Advanced Experiment Analysis
An advanced reporting framework that allows data teams complete flexibility for a deeper analysis
Statistics Engines & Options
What statistical engines are available for experiment analysis. Statistical engine options be adjusted
Bayesian, Frequentist, Sequential, CUPED, & advanced data quality checks
Sequential, SRM checks
Custom Metrics
Create complex metrics with SQL to match your data
Data Transparency
Full transparency into what is happening behind the scenes with your A/B tests.
Flexible Data Sources
Supports connecting to your existing data sources where ever they are (warehouse native)
Visual Experiment Editor
Ability to make experiments from the client side of web pages.
Multiple Environments
Supports dev and production environments
Ability to Self-host
Run on your own data center to ensure your data is protected
Open Source
Truly open s
Bayesian, Frequentist, Sequential, CUPED, & advanced data quality checks
Not fully open source:
Statsig is source-available

Performance

High Performance
Calls are evaluated locally for maximum performance
No required third-party calls
Integration does not require a third-party API call to render your feature
SDKs
Supports multiple languages on mobile, front end and back end

Support & Pricing

Direct access to Engineers via Slack
When you have questions or problems, can you talk to the people who built it
Pricing
Generous FREE tiers for Cloud and Self-hosted accounts. Per-seat pricing for paid plans.
Expensive—pricing based on MAU.
No free tier.

Unlimited experiments. Unlimited traffic. Full data control.

Book a DemoCreate Free Account
No credit card. No surprises. Just experimentation that scales.