GrowthBook

Overview

GrowthBook brings experimentation, feature management and product analytics into a platform built around data warehouses. It is best suited to teams that want to run tests against data they control and choose between managed cloud and self-hosted deployment. Its broad free allowances make it approachable; Pro adds more room for teams and safer rollouts, while scale-focused organizations should weigh custom-priced Enterprise plans.

Key features

Experimentation and analysis

GrowthBook supports A/B tests and multi-arm bandits, with Bayesian, frequentist and sequential methods plus CUPED variance reduction. A visual editor, server-side testing and mobile SDK support give teams several ways to run experiments across web and mobile products. The breadth is useful for teams with varied testing practices, though GrowthBook’s warehouse-native approach will be most compelling to organizations already prepared to work with warehouse data and SQL.

Feature management

All plans include unlimited feature flags, experiments and traffic. Percentage rollouts, instant kill switches and advanced targeting help teams control how changes reach users. Pro adds safe rollouts with automatic rollback; Enterprise adds ramp schedules and approval workflows. Those higher-tier controls are more relevant when releases need formal oversight or staged progression.

Warehouse architecture, integrations and privacy

GrowthBook analyzes data where it lives and makes SQL visible. It lists integrations for Snowflake, BigQuery, Databricks, ClickHouse, Trino and Adobe Experience Platform. The company says only aggregate data is accessed for analysis and personally identifiable information stays in the warehouse, a useful fit for teams that want to keep that information within their data environment.

Deployment and security

Teams can use managed cloud or self-host GrowthBook, including air-gapped deployments on major clouds or on-premises. GrowthBook says it is SOC 2 Type II certified and complies with GDPR, COPPA and CCPA, with data encrypted in transit and at rest. Self-hosting offers deployment control, while cloud plans avoid running the platform yourself.

Pricing

GrowthBook has free cloud and self-hosted options, plus paid cloud Pro and custom-priced Enterprise plans. Unlimited flags, experiments and traffic are included throughout, so the main plan differences are project and user limits, support and rollout controls.

• Open Source (Self-Hosted): free, with one project and unlimited feature flags, experiments and traffic. It suits teams able to operate their own deployment; the allowance is limited to one project.
• Starter (Cloud): free, for up to three users and one project, with unlimited flags, experiments and traffic. It is aimed at individuals and small teams, but the user and project caps constrain growing groups.
• Pro (Cloud): $40 a month, billed per seat / month, for up to 30 users and three projects. It keeps unlimited flags, experiments and traffic and adds safe rollouts with auto-rollback, premium support and a larger team allowance. It fits small and mid-sized teams that need those controls.
• Enterprise (Cloud): custom pricing tailored to scale and licensing requirements. It includes custom environments, SSO and SCIM provisioning, dedicated support and training, and a 99.99% uptime SLA.
• Enterprise (Self-Hosted): custom pricing tailored to scale and licensing requirements. It includes custom environments, advanced access control, SSO and SCIM provisioning, dedicated support and training.

Starter includes community support; Pro upgrades that to premium support, and Enterprise includes dedicated support and training. Enterprise’s custom pricing means teams need a tailored quote to assess its cost.

Platforms

GrowthBook supports web and mobile, with Android, iOS, API, web and self-hosted availability. Its SDK options include JavaScript, Python, React, Swift and Kotlin, among more than 24 SDKs described by the product.

Who it's for

GrowthBook is a strong fit for product and engineering teams that want experimentation and feature flags tied to warehouse data, need flexible statistical methods, or value a choice of cloud and self-managed deployment. Small teams can start on the free cloud plan, while organizations with up to 30 users and three projects can move to Pro for safer rollouts and premium support. Teams requiring custom environments, formal approvals, or dedicated support should consider Enterprise. A team that needs an upfront Enterprise price should look elsewhere.

Pros and cons

• Pro: Every plan includes unlimited flags, experiments and traffic, so usage of those core capabilities is not capped by the plan.
• Pro: Cloud and self-hosted deployment, including air-gapped options, suit teams with different infrastructure requirements.
• Pro: Warehouse integrations and analysis where data resides support teams that want SQL-visible experimentation and aggregate-data analysis.
• Con: The free cloud plan is capped at three users and one project, which may be restrictive once a team or portfolio grows.
• Con: Pro is capped at 30 users and three projects; larger organizations need Enterprise.
• Con: Enterprise pricing is custom, making costs harder to compare before requesting a tailored price.

Alternatives

Experimentation Platforms, A/B Testing Tools and Feature Flag Software are useful category directories for comparing options.

• Confidence by Spotify is worth considering if a free plan with unlimited seats, 75,000 monthly credits and up to five surfaces fits better; it also offers a free trial and Google SSO.
• Bucketeer suits teams seeking an open-source, self-hosted feature-flag tool with free-forever access and no per-seat pricing.
• Statsig may suit teams whose needs fit its free Developer allowance of 2 million events per month, unlimited flag and config checks, 50,000 session replays monthly and one-year analytics retention.
• Compose is an alternative for web experimentation with an early adopter usage price of $0.0012 per monthly tested user, billed after each month for the prior month.
• Marpipe is another option to compare.
• Amplitude offers a free plan with 2 million events per month, 10,000 monthly session replays and 2,000 AI feedback records.
• Optimizely Experimentation may suit teams looking for free feature flags with one experiment at a time.
• AB Tasty is another paid alternative to compare.

Verdict

Choose GrowthBook if your team wants warehouse-based experimentation and feature management, with broad free usage and the flexibility to run cloud or self-hosted. Pro is the practical step up for teams needing more users, projects and automatic rollback. Look elsewhere if custom-priced Enterprise plans do not suit your buying process or if the free cloud limits are too small for your team.