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Testing · head to head

GrowthBook vs Qase

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
Qase logo

Qase

Testing

Test case management with an API first design and a free tier for small teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • 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.; Qase requirements traceability is shallower than the enterprise incumbents, so proving coverage against a numbered specification takes manual field discipline rather than a built in link.
  • They diverge on capability: GrowthBook covers Feature flags, Qase covers Case repository.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which GrowthBook and Qase actually diverge.

Attributes where GrowthBook and Qase differ
AttributeGrowthBookQase
PlatformsWeb, Self-hosted, DockerWeb

Identical on both: starting price (Free), pricing model (Per user per month), free tier (Yes), 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 Qase

  • Case repository
  • Test runs and plans
  • Automation reporters
  • Defect linking
  • Public API
  • Requirement and review workflow

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

Qase

  • A QA lead introducing formal test management with no budget approval yetnot GrowthBook
  • Teams that want manual and automated results in one run history rather than two systemsnot GrowthBook
  • Organisations replacing TestRail on cost after a per seat renewal increasenot GrowthBook
  • Small teams needing exportable evidence of what was tested for a customer or auditornot 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.

Qase

  • Requirements traceability is shallower than the enterprise incumbents, so proving coverage against a numbered specification takes manual field discipline rather than a built in link.
  • It is a small vendor relative to Atlassian and Idera, and test management systems accumulate years of history, so continuity risk deserves weighing against the price saving.
  • The Jira integration is a link between two products rather than an application inside Jira, so teams that live entirely in Jira will still context switch, which is exactly what Zephyr avoids.
  • Reporting is adequate for a team and thin for a programme; consolidated quality metrics across many projects usually end up rebuilt in a BI tool.
  • Automation reporters cover the common runners well but anything unusual falls to the API, meaning someone has to build and maintain that integration.

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

Qase

Free
  • Free$undefined/month
    • Small user limit with core case management and runs
    • Enough for a two or three person team to work in permanently
  • Paid tiers$undefined/month
    • Published per user monthly pricing rising with integrations, custom fields and reporting depth
    • Cheaper per seat than the established test management incumbents at comparable tiers

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 Qase if

  • You need case repository.
  • You want to start without paying.
  • You also want test runs and plans.
Qase review

Questions people ask

Is GrowthBook or Qase better?
Neither clearly leads. GrowthBook starts at Free and Qase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GrowthBook or Qase?
GrowthBook starts at Free and Qase at Free.
Does GrowthBook or Qase run on more platforms?
GrowthBook runs on Web, Self-hosted, Docker. Qase runs on Web.
Can I use GrowthBook for free?
Both have a free tier, so you can try either at no cost before committing.
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 Qase is typically brought in for.
What can GrowthBook do that Qase cannot?
GrowthBook covers Feature flags, Warehouse-native analysis, Reusable metric definitions, Bayesian and frequentist engines. Qase covers Case repository, Test runs and plans, Automation reporters, Defect linking.

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.

Qase: Can the free tier be used indefinitely?

Yes, within its user limit. It is a genuine free tier rather than a trial.

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.

Qase: Does it run tests?

No. It records what was run and what happened. Execution stays with your framework or your testers.

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.

Qase: How hard is migrating from TestRail?

Case import is straightforward; run history and custom field mappings are the part that takes time.

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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