Marketing · head to head
Google Optimize vs GrowthBook

GrowthBook
Testing
Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Google Optimize google Optimize and Optimize 360 were sunset and are no longer available as of September 30, 2023; GrowthBook warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
- They diverge on capability: Google Optimize covers A/B testing, GrowthBook covers Feature flags.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Google Optimize and GrowthBook actually diverge.
| Attribute | Google Optimize | GrowthBook |
|---|---|---|
| Pricing model | freemium | Per user per month |
| Platforms | Web | Web, Self-hosted, Docker |
| Category | Marketing | Testing |
| Founded | 1998 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Google Optimize
- A/B testing
- Google Analytics integration
- Real-time analytics
- Google Analytics
- Google Tag Manager
- Google's security
- Cloud deployment
- Web support
Only in GrowthBook
- Feature flags
- Warehouse-native analysis
- Reusable metric definitions
- Bayesian and frequentist engines
- CUPED variance reduction
- Self-hosting
- Guardrail metrics
Both cover
- Visual editor
What people use each for
The jobs each tool is most often brought in to do.
Google Optimize
- A/B and multivariate testing of web pages tied to Google Analytics goalsnot GrowthBook
- Personalising page content for defined audience segmentsnot GrowthBook
- Redirect tests between alternative landing page URLsnot GrowthBook
GrowthBook
- An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot Google Optimize
- A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot Google Optimize
- A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot Google Optimize
- Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot Google Optimize
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Google Optimize
- Google Optimize and Optimize 360 were sunset and are no longer available as of September 30, 2023
- Any experiments and personalizations still running on that date were ended by Google
- Google directs former users to third-party A/B testing tools, naming AB Tasty, Optimizely and VWO, rather than a replacement Google product
GrowthBook
- Warehouse-native analysis is only an advantage if you have a warehouse with clean event data in it; without one, GrowthBook has nothing to compute against and you are back to buying an event-collecting platform.
- Metrics are SQL, so a marketing or product team without data engineering support cannot define or fix them, and a badly written metric silently produces a confident wrong answer.
- Cloud Pro bills per seat and then adds CDN request and bandwidth overages, so a high-traffic site can find the variable component exceeds the seat cost it budgeted for.
- Self-hosting means you own the Mongo database, the SDK endpoint availability and the upgrade path, and a flag service that is down is a production incident, not an analytics inconvenience.
- The statistics engine exposes real choices, Bayesian versus frequentist, sequential testing, variance reduction, and the tool will not stop a team that configures them wrongly, so it rewards statistical literacy and punishes its absence.
Pricing, plan by plan
Google Optimize
Free- FreeFree
- A/B testing
- Google Analytics integration
- Visual editor
GrowthBook
Free- Open source (self-hosted)Free
- Unlimited users, feature flags and experiments
- One project
- MIT licensed, you run the infrastructure
- Starter (cloud)Free
- Up to 3 users
- 1 project
- Unlimited flags, experiments and traffic
- Pro (cloud)$40/month
- Per seat, up to 50 users
- 3 projects
- CDN overage at $10 per million requests beyond the included allowance
- Enterprise$undefined/year
- Unlimited users and projects
- SSO, audit logs and advanced permissions
- Available on cloud or self-hosted
Which should you pick?
Choose Google Optimize if
- You need a/b testing.
- You want to start without paying.
- You also want google analytics integration.
Choose GrowthBook if
- You need feature flags.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want warehouse-native analysis.
Questions people ask
- Is Google Optimize or GrowthBook better?
- Neither clearly leads. Google Optimize starts at Free and GrowthBook at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Google Optimize or GrowthBook?
- Google Optimize starts at Free and GrowthBook at Free.
- Does Google Optimize or GrowthBook run on more platforms?
- Google Optimize runs on Web. GrowthBook runs on Web, Self-hosted, Docker.
- Can I use Google Optimize for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Google Optimize best used for?
- Google Optimize is most often used for a/b and multivariate testing of web pages tied to google analytics goals, personalising page content for defined audience segments, redirect tests between alternative landing page urls. Of those, a/b and multivariate testing of web pages tied to google analytics goals and personalising page content for defined audience segments are not what GrowthBook is typically brought in for.
- What can Google Optimize do that GrowthBook cannot?
- Google Optimize covers A/B testing, Google Analytics integration, Real-time analytics, Google Analytics. GrowthBook covers Feature flags, Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines. Both handle Visual editor.
Answered from the vendors’ own pages
Google Optimize: Is Google Optimize still available?
No. Google Optimize and Optimize 360 were discontinued as of September 30, 2023. Google recommends third-party A/B testing integrations such as AB Tasty, Optimizely, and VWO as replacements.
SourceGrowthBook: Is the self-hosted version actually usable, or crippled?
It is genuinely usable: unlimited users, flags and experiments on one project under an MIT licence. The paid tiers add multiple projects, SSO, audit logs and support.
GrowthBook: Do I need a data warehouse?
For experiment analysis, effectively yes. Feature flagging works without one, but the reason to choose GrowthBook over a flag-only tool is the warehouse-native statistics.
GrowthBook: How does the cost compare with LaunchDarkly or Optimizely?
GrowthBook charges per seat rather than per monthly active user or per tracked event, so cost stops scaling with traffic. At high volume that difference is large.
GrowthBook: Does it support mobile and server-side flags?
Yes, there are SDKs across JavaScript, React, Python, Go, Ruby, PHP, Java, Kotlin, Swift and more, covering client, server and mobile evaluation.
Related pages
More on Google Optimize
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