Product teams move from LaunchDarkly to GrowthBook when they want to cut their feature flag costs by 5X while adding industry-leading experimentation.
GrowthBook is the open source leader in feature flagging and experimentation. Companies choose GrowthBook over Statsig for platform flexiblity, world-class feature flags, and cost-effective pricing at scale.
- Open source feature flag and experimentation leader trusted by 2,700+ companies with 7,000+ GitHub stars
- Warehouse-native architecture with full SQL visibility for maximum control, flexibility, and no vendor lock-in
- Per-seat pricing is more predictable and cost-effective than event-based pricing
- Proprietary feature management and experimentation platform
- OpenAI acquisition introduces uncertainty around data privacy, the product roadmap, and the long-term viability of the product
- Expensive, event-based pricing can result in unexpected cost spikes
GrowthBook helps product teams move faster and more confidently with transparent, scalable experimentation and robust feature flags.
Developer-friendly, full-stack experimentation platform
Proprietary experimentation platform
Designed For
Developers, product teams, analysts
Product and engineering teams
Primary Use
Test any new feature you build in any platform
Run experiments and feature flags
Statistical Methods
Bayesian, frequentist, sequential (with CUPED, post-stratification)
Bayesian, frequentist, sequential (with CUPED)
Deployment Options
Cloud or fully self-hosted
Cloud-hosted, partially warehouse native option
Pricing & Plans
Per-seat pricing with unlimited tests, unlimited traffic
Usage-based pricing tied to events and traffic
Setup Time
Hours
Days to weeks
When costs limit experimentation at scale, it’s time to switch to GrowthBook.
Statsig customers switch to GrowthBook to run more experiments with results they can trust, keep costs predictable as usage grows, and maintain more control over their experimentation stack.
Developer Experience
GrowthBook works best for product teams that want a modern approach to product development that’s easy to use across teams.
GrowthBook
- Developer-friendly, intuitive environment for fast iteration
- Chrome debugger + visual editor
- Clear documentation, AI chatbot access, and responsive support
- Flexible for both technical and non-technical stakeholders
- 24+ SDKs: JavaScript, React, Node.js, Python, Ruby, Go, PHP, Java, Swift, Kotlin, etc.
Statsig
- Powerful platform with a steep learning curve for non-technical users
- Requires careful setup and instrumentation to ensure reliable results
- No visual editor
Performance & Scale
GrowthBook is designed to encourage running more experiments and feature flags, from small teams to the largest websites and apps worldwide.
GrowthBook
- Run any number of experiments on any amount of traffic
- Low-latency SDKs with rapid rule processing
- Scales from small teams to large enterprises on the same core platform
- 99.999% uptime for high traffic websites and apps
Statsig
- Costs scale with events and traffic, limiting experimentation and flagging
- High-traffic products must actively monitor usage to manage spend
- Platform performance depends on hosted infrastructure
Experimentation Depth & Flexibility
GrowthBook gives product teams the ability to test almost anything with complete control and flexibility.
GrowthBook
- Testing types: Supports A/B tests, multivariate tests, redirects, visual editor, and holdouts
- Full-stack coverage: server-side, client-side, mobile, and edge experiments
- Flexible targeting and randomization units user, location, postal code, URL path, etc.
- Statistical frameworks: Bayesian, frequentist, sequential (with CUPED, post-stratification)
Statsig
- Full-stack experimentation and feature rollouts
- Limited visibility into analytics and SQL
- Bayesian, frequentist, sequential (with CUPED)
Feature Flagging & Flag-Based Experiments
GrowthBook’s feature flagging lets teams release features and measure their impact with no extra cost or setup.
GrowthBook
- World-class feature flags at the core
- Controlled rollouts, gradual exposure, and instant kill switches
- Zero network call SDKs for low latency and high reliability
- Unified system for flags and experiments
Statsig
- Feature flags cannot be converted to experiments retroactively
- With event-based pricing, every feature flag check counts as a billable event
Transparency & Warehouse-Native Architecture
GrowthBook keeps experimentation transparent by running analysis directly in your warehouse with open source, inspectable logic.
GrowthBook
- Bring your data architecture Snowflake, BigQuery, Redshift, Postgres, etc.
- Analyze all your product and experimentation data in one place
- Customize metrics using SQL, use metric libraries, and even add metrics retroactively
- Reproduce and confirm any GrowthBook calculation
Statsig
- Warehouse-native capability added, creating 2 code bases
- Proprietary stats engine that cannot be inspected or audited
- Not open source
- Limited ability to reproduce or audit platform calculations
Privacy, Security & Deployment
GrowthBook works well for any industries with strict privacy and compliance requirements, including AI, financial services, healthcare, education, and gaming.
GrowthBook
- Fully self-hosted, air-gapped option for data residency requirements
- Meets strict privacy compliance requirements GDPR, HIPAA, CCPA, SOC 2 Type II certified
- No end-user PII required. Your data stays in your data warehouse
- Open-source code is publicly available for security review on GitHub
Statsig
- No self-hosted deployment
- All event data flows through Statsig servers (now owned by OpenAI)
- No published policy on data firewall from OpenAI AI training
AI-Ready & Future-Proof
GrowthBook gives product teams full control to test and optimize AI features, maximizing user engagement and business outcomes.
GrowthBook
- 3 of the 5 leading AI companies use GrowthBook to optimize their chatbots and APIs
- Design highly customized metrics to measure engagement, usage and outcomes
- Tune AI responses per use case with very targeted experiments
- MCP integration for natural language access to GrowthBook in IDE (Claude Code, Cursor, VS Code, etc.)
Statsig
- AI evaluation and model experimentation tools
- Customization limited to Statsig’s evaluation framework
- Platform roadmap and priorities now influenced by OpenAI
Cost of Ownership
GrowthBook’s predictable pricing encourages teams to use feature flags and experiments on every release.
GrowthBook
- Predictable per-seat pricing with unlimited experiments and unlimited traffic
- Free tier and open source options
- Enterprise self-hosting gives customers flexibility and control
- Warehouse-native architecture means you do not pay twice to capture the same data
Statsig
- Usage-based pricing on both experiments and feature flag events
- Costs often spike after vendor lock in
- Requires ongoing monitoring to manage spend at high volume
- Engineering-led implementation often requires more resources
What do GrowthBook users say?
“Experimentation is now part of how we think, build, and improve. GrowthBook made that possible.”
“We don’t need any code changes, we don’t need an app release. We just configure the new tests and launch right away.”
"Native data warehouse and feature flagging capabilities exceed expectations."
FAQs
Can I self-host GrowthBook or Statsig?
Yes. GrowthBook supports full self-hosting, giving teams complete control over their data and infrastructure. Statsig is cloud-only with no self-hosted deployment option.
How does the OpenAI acquisition affect Statsig?
The OpenAI acquisition of Statsig introduces new risks around platform longevity and data governance. Statsig’s CEO has since left, and the product is now part of OpenAI’s platform portfolio, where acquisitions have a risk of being discontinued. There is also no published policy separating customer experimentation data from OpenAI’s AI training. GrowthBook remains independent and open-source, giving teams more long-term control over their experimentation infrastructure.
What is the difference between a proprietary vs an open source experimentation engine?
A proprietary experimentation engine means your team cannot inspect statistical calculations, reproduce results, or audit experiment logic. An open source engine makes all of that possible in your own environment. Statsig's engine is proprietary, whereas GrowthBook's is fully open source, so your data team can inspect every query and validate any outcome.
Does Statsig or GrowthBook have more predictable pricing for experimentation and feature flags?
GrowthBook offers more predictable pricing for experimentation than Statsig. GrowthBook' per seat pricing with unlimited experiments and feature flags is more predictable. Statsig usage-based pricing is based on metered events. Cost increases as experiments, and feature flags, scale.
Can both Statsig and GrowthBook run experimentation at scale?
Yes, both have proven capability to handle billions of event look ups. The difference is in the pricing - with GrowthBook you have predictable per seat pricing with unlimited feature flags and experiments, whereas Statsig costs can spike with traffic. Companies often reduce the amount of traffic they test on to contain costs.
What is the difference between Statsig and GrowthBook for feature flags and experimentation?
GrowthBook is open source with full SQL visibility and tranparency. Statsig is a proprietary platform owned by OpenAI. GrowthBook lets teams inspect experiment logic, run analysis in their own warehouse, and self-host if needed.
