Testing · head to head
GrowthBook vs Zephyr Scale
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
- Only GrowthBook has a free tier, so it costs nothing to try first.
- Each has a real cost: 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.; Zephyr Scale tightly bound to Jira; limited standalone functionality outside Jira ecosystem
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which GrowthBook and Zephyr Scale actually diverge.
| Attribute | GrowthBook | Zephyr Scale |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Per user per month | quote |
| Free tier | Yes | No |
| Platforms | Web, Self-hosted, Docker | Web |
Identical on both: user rating (Not yet rated), category (Testing).
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 GrowthBook
- Feature flags
- Warehouse-native analysis
- Reusable metric definitions
- Bayesian and frequentist engines
- CUPED variance reduction
- Visual editor
- Self-hosting
- Guardrail metrics
Only in Zephyr Scale
Nothing recorded that GrowthBook does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
GrowthBook
- An engineering team that wants feature flags without a per-monthly-active-user bill that grows with product successnot Zephyr Scale
- A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot Zephyr Scale
- A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot Zephyr Scale
- Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot Zephyr Scale
Zephyr Scale
- Test case management within Jira workflowsnot GrowthBook
- Manual and automated test execution trackingnot GrowthBook
- Cross-project test asset reusenot GrowthBook
- Requirements traceability from stories to testsnot GrowthBook
- CI/CD pipeline and BDD framework integrationnot GrowthBook
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Zephyr Scale
- Tightly bound to Jira; limited standalone functionality outside Jira ecosystem
- No-code automation features limited in Standard tier, expanded only in Advanced
- Data residency feature unavailable for Essential tier, limiting enterprise compliance
- Transparent cost structure not provided on marketing page
Pricing, plan by plan
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
Zephyr Scale
On requestNo published plan breakdown. See the Zephyr Scale review.
Which should you pick?
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.
Choose Zephyr Scale if
Nothing in the data separates Zephyr Scale from GrowthBook on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is GrowthBook or Zephyr Scale better?
- Neither clearly leads. GrowthBook starts at Free and Zephyr Scale at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, GrowthBook or Zephyr Scale?
- GrowthBook has a free tier; the other does not. Paid plans start at Free for GrowthBook and On request for Zephyr Scale.
- Does GrowthBook or Zephyr Scale run on more platforms?
- GrowthBook runs on Web, Self-hosted, Docker. Zephyr Scale runs on Web.
- Can I use GrowthBook for free?
- Yes. GrowthBook has a free tier, so you can try it without paying. Zephyr Scale starts at On request.
- What is GrowthBook best used for?
- GrowthBook is most often used for an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success, a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool, a company with data residency or privacy constraints that cannot send user-level event data to a third-party vendor, running long-tail experiments where sequential testing and cuped shorten the time to a decision on low-traffic surfaces. Of those, an engineering team that wants feature flags without a per-monthly-active-user bill that grows with product success and a data team that needs experiment results to reconcile exactly with the metrics reported in its bi tool are not what Zephyr Scale is typically brought in for.
- What can GrowthBook do that Zephyr Scale cannot?
- GrowthBook covers Feature flags, Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines.
Answered from the vendors’ own pages
GrowthBook: 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.
Zephyr Scale: How much does Zephyr Scale cost?
Zephyr Scale pricing is not published on the website. Three tiers are available: Essential, Standard, and Advanced, plus QMetry for Jira. Contact SmartBear or visit Atlassian Marketplace for pricing details.
SourceGrowthBook: 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.
Zephyr Scale: Is there a free trial available?
Yes, Zephyr offers free trials for Essential, Standard, and Advanced tiers, as well as for QMetry. Visit the product page to start a trial.
SourceGrowthBook: 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.
Zephyr Scale: Does Zephyr Scale work outside of Jira?
Zephyr Scale is tightly integrated with Jira for test management. For standalone test management outside Jira, SmartBear offers QMetry as an alternative.
SourceGrowthBook: 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
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