GrowthBook vs Statsig
GrowthBook is the open-source leader in feature flagging and experimentation. Companies choose GrowthBook over Statsig for platform flexibility, world-class feature flags, and cost-effective pricing at scale.
At a glance: GrowthBook vs Statsig
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Why choose GrowthBook over Statsig
Developer-friendly, full-stack
experimentation platform
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Proprietary experimentation
platform
Move to GrowthBook without rebuilding from scratch
Import your configuration
Automate SDK conversion
Preserve your experiment history
How GrowthBook compares to Statsig?
Statsig customers switch to GrowthBook for trusted experiments, predictable costs, and better control over their stack.
“GrowthBook gave us a modern experimentation and release platform that actually fits how Dropbox works. We can run analytics directly on our data lake, roll features out safely in stages, and support teams across different stacks without duplicating data or tooling.”
"A/B testing GenAI features has been an absolute game changer. Experimentation went from feeling like a speed bump to becoming a safety net."
“People only see the wins, but there’s actually greater value in avoiding losses. We’ve stopped changes that could have cost millions.”
“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.”
GrowthBook is the only platform that lets us automate analysis at this level. It gives us the flexibility to measure accurately and the speed to help teams learn every day.
"Experimentation is core to how Fyxer runs. GrowthBook gives us a way to measure what’s happening, learn from wins and losses, and avoid shipping every risky idea to 100%."
“Experimentation showed what customers actually do rather than what we assume they’ll do.”
“Being able to turn a feature on and off with a flip of a switch is fantastic... That’s so much easier than having to do a deploy or a roll-back.”
“We don’t need any code changes, we don’t need an app release. We just configure the new tests and launch right away.”
"We are always experimenting now. It’s a natural part of product development. This is due to GrowthBook and the ease of usage both in the UX and in the seamless integration with Snowflake/DWH."
"GrowthBook's results speak for themselves. Every time we do a test, we see benefits for our audiences and our partners. These posters are our one shot, and we wouldn't want to fly blind."
“GrowthBook lets us build experiments exactly how we want. The ability to target based on culture and geography, as granular as needed, is a major win for us.”
GrowthBook is the only platform that lets us automate analysis at this level. It gives us the flexibility to measure accurately and the speed to help teams learn every day.
"A/B testing GenAI features has been an absolute game changer. Experimentation went from feeling like a speed bump to becoming a safety net."
"Experimentation is core to how Fyxer runs. GrowthBook gives us a way to measure what’s happening, learn from wins and losses, and avoid shipping every risky idea to 100%."
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FAQs
Statsig has changed hands twice. OpenAI acquired it in September 2025, and founder Vijaye Raji became OpenAI's CTO of Applications. In May 2026, Amplitude took on the Statsig brand and customer base, while the engineering team that built the platform stayed at OpenAI. Amplitude holds a perpetual non-exclusive licence to the technology and has published a phased plan to converge Statsig with its own analytics product. GrowthBook remains independent and open-source, so your experimentation infrastructure does not change hands with a deal.
A proprietary experimentation engine means your team cannot inspect statistical calculations, reproduce results, or audit experiment logic. An open source engine makes all of that possible in your own environment. Statsig's engine is proprietary, whereas GrowthBook's is fully open source, so your data team can inspect every query and validate any outcome.
GrowthBook supports full self-hosting, giving teams complete control over their data and infrastructure. Statsig is cloud-only with no self-hosted deployment option.
GrowthBook offers more predictable pricing for experimentation than Statsig. GrowthBook' per seat pricing with unlimited experiments and feature flags is more predictable. Statsig usage-based pricing is based on metered events. Cost increases as experiments, and feature flags, scale.
GrowthBook is open source with full SQL visibility and tranparency. Statsig is a proprietary platform operated by Amplitude. GrowthBook lets teams inspect experiment logic, run analysis in their own warehouse, and self-host if needed
Yes, both have proven capability to handle billions of event look ups. The difference is in the pricing - with GrowthBook you have predictable per seat pricing with unlimited feature flags and experiments, whereas Statsig costs can spike with traffic. Companies often reduce the amount of traffic they test on to contain costs.
GrowthBook provides migration tools specifically for Statsig customers. The importer can transfer environments, tags, segments, feature gates, dynamic configs, and experiments. An AI-powered migration assistant can also refactor supported JavaScript, TypeScript, and React SDK implementations and generate a report identifying any manual work that remains.
Yes, for supported SDKs. GrowthBook’s AI-powered migration assistant converts Statsig imports, feature gates, dynamic configs, and user attributes into GrowthBook equivalents. It currently supports JavaScript, TypeScript, and client-side React, with assistance available for teams using other languages.
Yes. GrowthBook’s migration tools can import Statsig experiments, including historical experiments. This allows teams to preserve previous learnings and create reports from experiment data after moving to GrowthBook.
Yes. Teams can import their configuration, test features in a development environment, connect their data sources, validate targeting behavior, and review converted SDK code before completing a production transition. This supports a staged migration rather than an all-at-once cutover.
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