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.
Product teams move from LaunchDarkly to GrowthBook when they want to cut their feature flag costs by 5X while adding industry-leading experimentation.
- Open-source, developer-friendly platform for feature flags, experimentation, and product analytics
- Predictable, seat-based pricing and unlimited traffic at 1/5th the cost
- Warehouse-native experimentation with advanced statistics, guardrails, and decision frameworks to scale with your team
- Built for enterprise feature management
- Limited data ownership and deployment flexibility
- Immature experimentation capabilities with unpredictable traffic based pricing
GrowthBook helps product teams create a culture of experimentation to build better products and customer experiences.
Developer-friendly, full-stack experimentation platform
Enterprise feature management and release platform
Designed For
Developers, product teams, analysts
Engineering & DevOps teams
Primary Use
Test any new feature you build in any platform
Feature flags, progressive delivery, release observability
Statistical Methods
Bayesian, frequentist, sequential (with CUPED, post-stratification)
Bayesian, frequentist, sequential (with CUPED)
Deployment Options
Cloud or fully self-hosted
Cloud only
Pricing & Plans
Per-seat pricing with unlimited tests, unlimited traffic
Per MAU, seat, and service connection
Setup Time
Hours
Days to weeks
When Launch Darkly’s unpredictable pricing starts limiting how much your team can test, it's time to switch to GrowthBook.
LaunchDarkly customers are switching to GrowthBook because they want to scale experimentation without pricing surprises or architectural constraints.
Developer Experience
GrowthBook works best for product teams that want a modern, developer-friendly approach to feature flags and experimentation.
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.
LaunchDarkly
- Built for enterprise release control
- Experimentation isn't well integrated with the rest of the product
- Advanced configurations are complex, requiring coordination across teams
- New targeting rules require SDK-level schema changes and cross-team coordination
Performance & Scale
GrowthBook is built to stay fast and reliable at any scale. Local evaluation means no network dependency and no single point of failure.
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
LaunchDarkly
- Rising costs, complexity, and lag limit scale
- Network-dependent, with 800+ tracked outages since November 2019
- Oct 2025 outage affected ~99% of server-side SDKs globally for 24 hours
- SDKs roughly twice the size of GrowthBook's
- Relay Proxy available to reduce network dependency, but complex to maintain
Experimentation Depth & Flexibility
GrowthBook gives users on all plans 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)
LaunchDarkly
- Experimentation is limited and sold as an add on
- Black box stats engine, results can't be audited or reproduced
- Percentile analysis is beta and incompatible with CUPED
- Funnel metrics are limited to average analysis; percentile methods unavailable
Feature Flagging & Flag-Based Experiments
GrowthBook gives teams enterprise-grade feature flags without the complexity or cost.
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
LaunchDarkly
- Multi-context targeting model requires upfront schema design and SDK changes
- Only one active experiment per feature flag without workarounds
- New targeting rules require SDK context changes and cross-team coordination
- No warehouse-native measurement — proving rollout impact requires heavy manual work
Transparency & Warehouse-Native Architecture
GrowthBook's architecture keeps all your data in one place, with full control and trust.
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
LaunchDarkly
- Platform-managed metrics can fall out of sync with warehouse data
- Warehouse-native experimentation restricted to Snowflake; high-level account permissions required
- Black box stats engine means results can't be audited or reanalyzed
Privacy, Security & Deployment
GrowthBook’s full self-hosting works well for 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
LaunchDarkly
- No full self-hosting option
- SaaS-first control plane
- More reliance on vendor-managed infrastructure for core feature management workflows
- Holds additional compliance certifications relevant for federal buyers
AI-Ready & Future-Proof
Feature flags and A/B testing are more important than ever as AI coding tools accelerate development and LLM behavior is harder to predict.
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.)
LaunchDarkly
- AI Configs offers prompt and model management with guarded rollouts, paid add-on requires sales support
- MCP server and Agent Skills cover AI coding tools though still in beta
- Experimentation is a separate paid module, not included in base feature flag pricing
- Cloud-only architecture means all AI product data flows through LaunchDarkly's servers with no self-hosting option
Cost of Ownership
GrowthBook’s pricing is predictable at scale and 1/5th the cost of LaunchDarkly.
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
LaunchDarkly
- MAU-based pricing
- Service-connection billing
- Experimentation is a paid add-on — costs increase as usage and testing needs grow
- Vendor lock-in makes switching difficult, giving LaunchDarkly leverage at renewal
What do GrowthBook users say?
"GrowthBook has changed the way we think about experiments... It allowed us to uplevel our code, speed up decision-making, and focus on what we do best."
"Being able to spin up new metrics mid-experiment is a game changer. This was simply never possible before."
"Native data warehouse and feature flagging capabilities exceed expectations."
FAQs
How easy is it to move from LaunchDarkly to GrowthBook?
Moving from LaunchDarkly to GrowthBook is straightforward and most teams are up and running the same day. GrowthBook's dedicated importer pulls in your projects, environments, feature flags, and targeting rules directly from LaunchDarkly via API. After that, swap the LaunchDarkly SDK for the GrowthBook equivalent and you're ready to go.
Can GrowthBook and LaunchDarkly both support enterprise security and privacy requirements?
Yes, both platforms meet standard enterprise security requirements, but GrowthBook alsomeets stricter data residency requirements. GrowthBook supports full self-hosting; your data never leaves your own infrastructure. LaunchDarkly runs on vendor-managed cloud infrastructure with no full self-hosting option.
Does GrowthBook support more data warehouses than LaunchDarkly?
Yes, GrowthBook works natively with all major data warehouses — Snowflake, BigQuery, Redshift, Postgres, and more. LaunchDarkly's warehouse-native experimentation is currently limited to Snowflake, which requires high-level account permissions to set up.
Is GrowthBook less expensive than LaunchDarkly?
GrowthBook is much less expensive than LaunchDarkly, especially as your team grows. LaunchDarkly’s design creates vendor lock-in, making it difficult to switch platforms once costs increase. As one reviewer put it, "they can literally charge any amount of money and your alternative is having your own SaaS product break." GrowthBook uses predictable, per-seat pricing without the vendor lock-in.
Why do companies choose GrowthBook over LaunchDarkly for experimentation and A/B testing?
Companies choose GrowthBook over LaunchDarkly to run more experiments with stronger statistical methods and lower, predictable cost. GrowthBook includes Bayesian and frequentiststatistical engines with sequential testing, CUPED, post-stratification and more advanced statistical methods. LaunchDarkly offers experimentation as a paid add-on with limited testing options.
What is the main difference between GrowthBook and LaunchDarkly?
GrowthBook is built for product experimentation, while LaunchDarkly is built for enterprise release management. GrowthBook helps teams rollout and measure the impact of every feature using their own data warehouse, while LaunchDarkly only controls how and when features ship.
