VWO draining your budget?
Switch to GrowthBook

Choose the open-source platform for faster A/B testing and full data control.
Have a question? Contact us

Why Teams Switch from VWO to GrowthBook

No Cost Surprises

- ❌ VWO’s Limitations: Steep overage fees for exceeding annual user caps (e.g. 120k/year), driving up costs for high-traffic sites.
- GrowthBook: Transparent pricing with no limits on users, events, metrics, or experiments. Scale freely.

Data Control & Compliance

- ❌ VWO: Data stored on third-party servers, difficult for GDPR/SOC compliance
- GrowthBook: Self-hosted or cloud options. Connect to your warehouse (BigQuery, Snowflake, Redshift, Databricks) for full data ownership and compliance.

Fast Setup & Developer Flexibility

- Get Started in Minutes: Use Docker to deploy locally or in your VPC.
- Edge Deployments: Run experiments at the CDN level for subsecond latency—no VWO flicker.
- No Engineering Bottlenecks: Run A/B tests visually or with code-first SDKs for frontend, backend, or mobile.

Built for Engineers, Friendly for Marketers

- Unified Platform: Run experiments across backend code, mobile, and web apps.
- Visual Editor on the Edge: Eliminate flicker and improve speed with edge-deployed A/B tests.
- Flexible SDKs: Lightweight and blazing fast. Serve flags inline, from cache, or via CDN.

Trust Through Transparency

- Data Transparency: GrowthBook is the only A/B testing platform that shows you all the SQL, stats models, and calculations behind every result.
-Your Metrics, Your Rules: Use your existing KPIs and warehouse data—no need to duplicate anything.
- Advanced Stats Engine: Choose Bayesian or Frequentist, apply CUPED, monitor SRM, and get accurate results without black boxes.

GrowthBook vs. VWO

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
Built-in
Requires Add-ons
Advanced Targeting
Target features to specific users or based on specific attributes
SQL-based cohorts,
custom attributes
Basic geo/device rules
Experimentation
Easily create A/B tests based on features
Visual editor +
code-based
Visual editor only
Advanced Experiment Analysis
An advanced reporting framework that allows data teams complete flexibility for a deeper analysis
Statistics Engines
What statistical engines are available for experiment analysis. Statistical engine options be adjusted
Bayesian, Frequentist,
CUPED, & SRM Detection
Bayesian only
SDKs
Create complex metrics with SQL to match your data
20+ SDKs (Frontend,
Backend, Mobile, Edge)
Web & Mobile only
Data Transparency
Full transparency into what is happening behind the scenes with your A/B tests.
Data Sources
Supports connecting to your existing data sources where ever they are (warehouse native)
Any SQL database:
BigQuery, Snowflake,
Redshift, Databricks, etc
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
Full control over data & infrastructure
Cloud Only
more text....
Run on your own data center to ensure your data is protected

Performance

High Performance
Calls are evaluated locally for maximum performance
Extremely Fast
Adds latency: +725 ms
LCP, +587 ms STTV
Third-party Dependencies
Integration does not require a third-party API call to render your feature
No required
third-party calls
Relies on external scripts
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 & Complicated—pricing based on MAU. No free tier.

Unlimited experiments. Unlimited traffic. Full data control.

No credit card. No surprises. Just experimentation that scales.