GrowthBook vs Statsig: Which Experimentation Platform in 2026?

Pricing verified 2026-07-12

Last verified: July 2026. Pricing and features checked against each vendor's public site.

GrowthBook and Statsig are two of the most developer-friendly experimentation platforms available β€” and unusually for this space, both publish their pricing. GrowthBook is open-source and can be self-hosted for free; Statsig is SaaS-only but packs in session replay and funnels alongside experiments. Both offer client and server SDKs, feature flags, a CLI, an MCP server, and 5/5 API openness. So the decision comes down to open-source flexibility vs. built-in analytics breadth, and what you're willing to pay.

The 30-second answer

  • Choose GrowthBook if you want open-source, self-hostable experimentation with full data ownership, warehouse-native analysis, and a lower per-seat cost.
  • Choose Statsig if you want a managed SaaS platform that bundles session replay and funnels with experimentation, and you prefer a flat monthly price over per-seat billing.
  • Choose HeatMapX if you need heatmaps alongside A/B testing β€” neither GrowthBook nor Statsig offers them.

Side by side

Both platforms publish pricing and score 5/5 on API openness. HeatMapX is included as a reference for teams that also need heatmaps.

GrowthBookStatsigHeatMapX
Starting price$40/mo$150/mo$12/mo
Free tierFree Cloud StarterDeveloper plan: $0/mo, 2M…Free plan
A/B test (client)YesYesYes
A/B test (server)YesYesYes
AI analysisYesYesYes
API openness score5 / 55 / 55 / 5
CLIYesYesYes
MCPYesYesYes

βœ“ = yes Β· βœ— = no Β· β–³ = partial Β· β€œβ€”β€ = not yet verified by our team (not necessarily absent).

Starting price is the lowest published paid tier; some tiers assume annual billing β€” see each tool’s review for month-to-month rates, free trials, and details.

Sources: www.growthbook.io/pricing (checked 2026-07-08) Β· heatmapx.com/en/blog/heatmap-abtest-data-portability (checked 2026-07-04) Β· statsig.com/pricing (checked 2026-07-08) Β· heatmapx.com/en/pricing (checked 2026-07-07) Β· heatmapx.com (checked 2026-07-07)

Where they differ

Open-source vs. SaaS. GrowthBook is open-source (MIT license) and can be self-hosted for free with no seat limits. That means full control over your data, infrastructure, and upgrade timeline. Statsig is SaaS-only β€” easier to get started, but you're locked to their infrastructure and pricing.

Pricing model. GrowthBook Cloud charges per seat: free Starter for up to 3 seats, then $40/seat/month on Pro. Statsig charges a flat rate: free Developer plan (up to 2M events/month), then $150/month for Pro. For small teams GrowthBook is cheaper; for larger teams the per-seat model can add up, while Statsig's flat rate stays constant.

Session replay and funnels. Statsig includes session replay and funnel analysis β€” useful if you want to watch how users interact with experiment variants without adding another tool. GrowthBook has neither; it stays focused on experimentation and feature flags.

Warehouse-native analytics. Both platforms connect to your data warehouse, but GrowthBook was designed warehouse-native from the start β€” it queries your warehouse directly rather than ingesting a copy. Statsig also supports warehouse integrations but runs its own analytics pipeline.

AI tooling. GrowthBook offers an AI Data Analyst for interpreting experiment results. Statsig provides AI-powered experiment summaries. Both are useful; neither is a deciding factor on its own.

Feature flags. Both include feature flags as a core capability, with comparable SDK support across languages and platforms.

Heatmaps. Neither offers heatmaps or click maps. If you need to see where users click, scroll, or hover, you'll need a separate tool.

If neither tool has what you need

If you need heatmaps alongside experimentation β€” or you want a simpler, flat-rate tool without enterprise complexity β€” consider HeatMapX: client- and server-side A/B testing plus heatmaps at transparent pricing (Free / $12 / $29 / $99, verified Jul 2026), with 5/5 API openness, a CLI, and an MCP server. It doesn't replace feature flags (neither GrowthBook's nor Statsig's), but it fills the heatmap gap that both leave open.

Which should you choose?

  • Open-source, self-host, full data control: GrowthBook.
  • Managed SaaS with session replay and funnels built in: Statsig.
  • A/B testing plus heatmaps, transparent flat pricing: HeatMapX.
  • Feature flags as the primary use case: Both GrowthBook and Statsig handle this well β€” pick based on open-source preference and pricing model.

Frequently asked questions

Is GrowthBook or Statsig better?

Neither is universally better. GrowthBook gives you open-source flexibility and lower per-seat cost; Statsig gives you a managed platform with session replay and funnels included. Both are strong on developer experience, with CLI tools, MCP servers, and full API access.

How much do GrowthBook and Statsig cost?

GrowthBook: free self-hosted (unlimited), or Cloud from free (3 seats) to $40/seat/month Pro. Statsig: free Developer (2M events/month), Pro at $150/month. Both publish their pricing β€” unusual for this category.

Do both support server-side A/B testing?

Yes. Both GrowthBook and Statsig offer server-side SDKs across multiple languages, making them suitable for backend experimentation β€” not just client-side UI tests.

Can I self-host Statsig?

No. Statsig is SaaS-only. If self-hosting is a requirement, GrowthBook is the clear choice β€” it's open-source and designed for self-hosting.

Do either offer heatmaps?

No. Neither GrowthBook nor Statsig includes heatmaps, click maps, or scroll maps. If you need those alongside experimentation, tools like HeatMapX or a dedicated heatmap platform are the way to go.

Bottom line

GrowthBook and Statsig are both excellent, developer-friendly experimentation platforms with transparent pricing β€” a rarity in this space. GrowthBook wins on openness and cost (open-source, self-hostable, $40/seat); Statsig wins on built-in analytics breadth (session replay, funnels, $150/month flat). Neither offers heatmaps, so if visual analytics matter, pair either with HeatMapX or choose HeatMapX as a simpler all-in-one for A/B testing plus heatmaps.

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