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Testing · head to head

Qase vs Split

Qase logo

Qase

Testing

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

From
Free
Rated
-
Split logo

Split

Testing

Feature flags tied to a metrics pipeline that attributes production impact to each release, now Harness FME

From
On request
Rated
-

The short version

  • Only Qase has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Split split is now a module of the Harness platform and split.io redirects to harness.io, so buying it means entering a Harness commercial relationship rather than a standalone flag vendor contract.
  • They diverge on capability: Qase covers Case repository, Split covers Feature flags with targeting.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Qase and Split actually diverge.

Attributes where Qase and Split differ
AttributeQaseSplit
Starting priceFreeOn request
Pricing modelPer user per monthquote
Free tierYesNo
PlatformsWebWeb, API, iOS, Android, Java, Node.js, Python, Go, .NET

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 Qase

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

Only in Split

  • Feature flags with targeting
  • Metrics impact engine
  • Guardrail metrics
  • Statistical significance testing
  • Event ingestion
  • SDKs and streaming updates
  • Audit and approvals
  • Harness platform integration

What people use each for

The jobs each tool is most often brought in to do.

Qase

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

Split

  • A product organisation that wants every release measured against conversion and latency by default, not only deliberate experimentsnot Qase
  • Running A/B tests with real statistical significance rather than comparing two dashboard linesnot Qase
  • Catching a regression at five per cent rollout because a guardrail metric fires before the change reaches everyonenot Qase
  • A team already committed to Harness for CI and CD that wants flags in the same platform and contractnot Qase

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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.

Split

  • Split is now a module of the Harness platform and split.io redirects to harness.io, so buying it means entering a Harness commercial relationship rather than a standalone flag vendor contract.
  • Harness no longer publishes per-module prices, so an organisation that wants only feature management cannot get a list price and must negotiate a module out of a platform bundle.
  • The measurement engine needs traffic volume to reach significance, so a product with modest usage gets flags with an experimentation layer it will rarely be able to conclude anything from.
  • Metric attribution depends on correctly instrumented events flowing into Split, which is an integration project in its own right; without it you have paid for an experimentation platform and are using it as a flag switch.
  • As part of a larger DevOps suite the roadmap now competes with CI, CD, security and cloud cost modules for attention, so feature management is no longer the company’s single focus the way it was as an independent product.

Pricing, plan by plan

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

Split

On request
  • Harness FreeFree
    • Harness Open Source and community support
    • Intended for individuals and small teams
    • Feature management capability limited at this tier
  • Harness Essentials$undefined/year
    • Bundled DevOps modules including CI, CD, IaC and security testing
    • Standard support
    • Pricing requires contacting sales
  • Harness Enterprise$undefined/year
    • Mix and match from 15 or more modules including Feature Management and Experimentation
    • Premier support with a dedicated account manager
    • Higher pipeline concurrency and organisation limits

Which should you pick?

Choose Qase if

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

Choose Split if

  • You need feature flags with targeting.
  • You work on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
  • You also want metrics impact engine.

Questions people ask

Is Qase or Split better?
Neither clearly leads. Qase starts at Free and Split at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Qase or Split?
Qase has a free tier; the other does not. Paid plans start at Free for Qase and On request for Split.
Does Qase or Split run on more platforms?
Qase runs on Web. Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
Can I use Qase for free?
Yes. Qase has a free tier, so you can try it without paying. Split starts at On request.
What is Qase best used for?
Qase is most often used for a qa lead introducing formal test management with no budget approval yet, teams that want manual and automated results in one run history rather than two systems, organisations replacing testrail on cost after a per seat renewal increase, small teams needing exportable evidence of what was tested for a customer or auditor. Of those, a qa lead introducing formal test management with no budget approval yet and teams that want manual and automated results in one run history rather than two systems are not what Split is typically brought in for.
What can Qase do that Split cannot?
Qase covers Case repository, Test runs and plans, Automation reporters, Defect linking. Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing.

Answered from the vendors’ own pages

Qase: Can the free tier be used indefinitely?

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

Split: Is Split still called Split?

It is now sold as Harness Feature Management and Experimentation after the Harness acquisition, and split.io redirects to harness.io.

Qase: Does it run tests?

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

Split: Can I buy just feature flags?

Not from a price list. Harness publishes bundle tiers and directs single-module buyers to sales.

Qase: How hard is migrating from TestRail?

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

Split: What does it do that a plain flag service does not?

It attributes changes in your product metrics to specific flags with statistical significance testing and alerts on guardrail metrics.

Split: Do we need a lot of traffic?

Yes. Statistical tests need volume to conclude, so low-traffic products get limited value from the measurement layer.

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