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Testing · head to head

GrowthBook vs QA Wolf

GrowthBook logo

GrowthBook

Testing

Open source feature flags and A/B testing that run experiment analysis inside your own data warehouse

From
Free
Rated
-
Full reviewWebsite
QA Wolf logo

QA Wolf

Testing

Managed end to end test coverage where the vendor writes and maintains your Playwright suite

From
On request
Rated
-
Full reviewWebsite

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.; QA Wolf it costs materially more than any tool licence in this category because you are paying for engineering labour, so the comparison is against a salary rather than against Playwright being free.
  • They diverge on capability: GrowthBook covers Feature flags, QA Wolf covers Tests written for you.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which GrowthBook and QA Wolf actually diverge.

Attributes where GrowthBook and QA Wolf differ
AttributeGrowthBookQA Wolf
Starting priceFreeOn request
Pricing modelPer user per monthquote
Free tierYesNo
PlatformsWeb, Self-hosted, DockerWeb, iOS, Android

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 QA Wolf

  • Tests written for you
  • Human failure triage
  • Parallel hosted execution
  • Coverage targets
  • Portable Playwright output
  • CI and issue integration

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 QA Wolf
  • A data team that needs experiment results to reconcile exactly with the metrics reported in its BI toolnot QA Wolf
  • A company with data residency or privacy constraints that cannot send user-level event data to a third-party vendornot QA Wolf
  • Running long-tail experiments where sequential testing and CUPED shorten the time to a decision on low-traffic surfacesnot QA Wolf

QA Wolf

  • A startup with no QA function that needs regression coverage before a release cadence moves to dailynot GrowthBook
  • Engineering teams where developers currently spend a day a week fixing broken end to end testsnot GrowthBook
  • Companies that tried a record and replay tool and abandoned it when maintenance overtook the benefitnot GrowthBook
  • Organisations that want automated coverage but cannot recruit automation engineers in their marketnot 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.

QA Wolf

  • It costs materially more than any tool licence in this category because you are paying for engineering labour, so the comparison is against a salary rather than against Playwright being free.
  • An external team writes tests against a product they do not use daily, so coverage follows documented flows and misses the edge cases your own staff would have thought to check.
  • Every new feature needs to be communicated to the vendor before it can be covered, which adds a coordination step to your release process that an in house suite does not have.
  • Test runs happen on QA Wolf infrastructure, so testing an environment behind a corporate VPN or with strict data residency rules requires negotiation and may not be possible.
  • The service assumes a reasonably stable application; a product still changing its core flows every sprint will burn the maintenance allowance quickly and prompt a repricing.

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

QA Wolf

On request
  • QA Wolf$undefined/year
    • Annual contract quoted on the number of tests maintained and the coverage target agreed
    • Priced as a service, not a licence, so the figure is closer to headcount than to tool spend

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.
GrowthBook review

Choose QA Wolf if

  • You need tests written for you.
  • You work on Web, iOS, Android.
  • You also want human failure triage.
QA Wolf review

Questions people ask

Is GrowthBook or QA Wolf better?
Neither clearly leads. GrowthBook starts at Free and QA Wolf at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GrowthBook or QA Wolf?
GrowthBook has a free tier; the other does not. Paid plans start at Free for GrowthBook and On request for QA Wolf.
Does GrowthBook or QA Wolf run on more platforms?
GrowthBook runs on Web, Self-hosted, Docker. QA Wolf runs on Web, iOS, Android.
Can I use GrowthBook for free?
Yes. GrowthBook has a free tier, so you can try it without paying. QA Wolf 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 QA Wolf is typically brought in for.
What can GrowthBook do that QA Wolf cannot?
GrowthBook covers Feature flags, Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines. QA Wolf covers Tests written for you, Human failure triage, Parallel hosted execution, Coverage targets.

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.

QA Wolf: Do we own the tests?

Yes. They are standard Playwright and customers can take the repository, which is the main protection against lock in here.

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.

QA Wolf: Is eighty per cent coverage of the whole product?

It is of the flows agreed during onboarding, not of the code. Confirm what is in scope before signing.

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.

QA Wolf: Does this replace our QA team?

It replaces automation maintenance. Exploratory testing, release judgement and edge case design still need someone who uses the product.

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.

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