LaunchDarkly vs Statsig vs GrowthBook

Free tier available

Free tier available

From $40 per seat/month (cloud Pro, up to 30 users and 3 projects)

LaunchDarkly has dropped per-seat pricing: Developer is free with unlimited seats, and Foundation is pay-as-you-go on service connections and client-side monthly active users with no platform or seat fee. High-traffic consumer products still get expensive, but now through MAU rather than seats. Enterprise is quote-based.

One of the most generous free tiers in developer tooling; paid usage is billed on analytics events, not seats.

Seat-based rather than usage-based, so cost tracks the number of people using the platform rather than your traffic — which is why it stays dramatically cheaper than the commercial platforms at scale, especially self-hosted.

Developer plan is free forever with unlimited seats.

Generous free tier including unlimited feature flags and a large monthly event allowance.

Self-hosted open source is free with unlimited users on 1 project; the cloud Starter tier is free for up to 3 users.

Category standard

LaunchDarkly · since 2014

Widely used

Statsig (Amplitude) · since 2020

Widely used

GrowthBook · since 2021

• Extremely reliable flag delivery with offline fallbacks — this is infrastructure you can trust in the request path.
• Best-in-class governance: approval workflows, audit logs, role-based access.
• Code references and stale-flag detection actually help you remove dead flags.

• Statistics engine is genuinely strong — sequential testing and CUPED are not marketing veneer.
• Flags, experiments and analytics in one system removes a whole class of integration work.
• Warehouse-native mode satisfies data-governance requirements.

• Warehouse-native by design — no duplicate event pipeline and no data leaving your control.
• Self-hosting removes per-user-volume pricing entirely.
• Both Bayesian and frequentist engines with sequential testing support.

• Still the expensive option once client-side MAU volume is real, even after the move off per-seat pricing.
• Experimentation is competent but less sophisticated than dedicated statistics platforms.
• Usage-based billing on service connections and MAU is harder to forecast than a seat count.

• Event-based pricing can escalate sharply on high-volume products.
• Broad surface area means a real learning curve.
• Changed hands twice in under a year — OpenAI acqui-hired the founding team in September 2025, and Amplitude took over the product and brand in May 2026, so the roadmap is still settling.

• Requires a working data warehouse and someone who can define metrics in SQL.
• Self-hosting is operational work you own.
• Less polished governance and approval tooling than LaunchDarkly.

Engineering organisations where flags are critical infrastructure and governance is required.

Product teams that want experimentation and analytics to share one source of truth.

Data-mature teams that already have a warehouse and want to avoid volume-based pricing.