Statsig vs GrowthBook
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 tierFrom $40 per seat/month (cloud Pro, up to 30 users and 3 projects)
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.
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.
Free tier
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.
Open source
MIT (core)
Self-hostable
No-code authoring
Languages
Platforms
Fits teams
Adoption
Widely used
Statsig (Amplitude) · since 2020
Widely used
GrowthBook · since 2021
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.
- 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.
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.
- 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.
Best for
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.
All of these integrate with: Snowflake, BigQuery, Segment, Slack.
Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.