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Tool profile · Feature flags & experimentation

GrowthBook

Flags plus a real statistics engine — the experimentation answer.

83
sovereignty

GrowthBook is the option to look at when the reason you want flags is experiments rather than toggles. It runs A/B tests against your existing data warehouse — Snowflake, BigQuery, Redshift, Postgres — so the analysis happens where your data already lives instead of in a second copy, and it offers Bayesian and frequentist statistics rather than one opinionated method. Around 8.1k stars. The licence needs stating precisely: the core is MIT, but three enterprise directories are carved out under a separate commercial licence, so it is MIT-with-exceptions rather than plain MIT.

OPEN SOURCEMIT core, with enterprise directory carve-outsSELF-HOSTLOCAL-FIRST
LicenseMIT core, with enterprise directory carve-outs
PricingSelf-hostable core free. Cloud and enterprise tiers are paid.
Open sourceYes
Self-hostableYes
Local-first dataYes

What it does well

  • +Genuine statistics engine — Bayesian and frequentist, not a toggle with a chart
  • +Runs experiments against your existing warehouse, no data duplication
  • +Warehouse-native means no second source of truth to reconcile
  • +Self-hostable with a real free path

Where it falls short

  • Enterprise directories are carved out of the MIT licence
  • Heavier to set up than the pure flag tools — you need a warehouse
  • Flag management is less polished than Unleash's
  • Overkill if you only want to turn features on and off

GrowthBook as an alternative to

Where GrowthBook shows up in our comparisons, and how it ranked.

GrowthBook head-to-head

Straight comparisons against the tools people weigh it against.

The Macrostack brief

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