Statsig vs LaunchDarkly
Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.
Entry price
Free tier available
Free tierFree tier available
Free tierWhat drives the bill
The metric that actually scales your invoice.
One of the most generous free tiers in developer tooling; paid usage is billed on analytics events, not seats.
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.
Free tier
Generous free tier including unlimited feature flags and a large monthly event allowance.
Developer plan is free forever with unlimited seats.
Open source
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
Statsig (Amplitude) · since 2020
Category standard
LaunchDarkly · since 2014
Strengths
- 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.
- 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.
Limitations
- 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.
- 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.
Best for
Product teams that want experimentation and analytics to share one source of truth.
Engineering organisations where flags are critical infrastructure and governance is required.
All of these integrate with: Snowflake, Segment, Slack, Datadog.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.