Testing · head to head
mabl vs Split
mabl
Testing
Low-code browser and API test automation with hosted runners and self-healing selectors
- From
- On request
- Rated
- -
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
- Each has a real cost: mabl tests are stored in a proprietary format and cannot be exported as runnable code, so migrating to Playwright or Cypress later means re authoring every test by hand.; 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: mabl covers Trainer recorder, 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 mabl and Split actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 mabl
- Trainer recorder
- Auto healing selectors
- API testing
- Accessibility checks
- Cross browser cloud runs
- CI and issue tracker hooks
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.
mabl
- A QA team of two or three people responsible for regression coverage across a web application released weeklynot Split
- An organisation that abandoned a Selenium suite because maintenance consumed more time than manual testing didnot Split
- Teams that need accessibility scanning and functional regression reported in the same runnot Split
- Product companies where non engineers, such as support or business analysts, are expected to author testsnot Split
Split
- A product organisation that wants every release measured against conversion and latency by default, not only deliberate experimentsnot mabl
- Running A/B tests with real statistical significance rather than comparing two dashboard linesnot mabl
- Catching a regression at five per cent rollout because a guardrail metric fires before the change reaches everyonenot mabl
- A team already committed to Harness for CI and CD that wants flags in the same platform and contractnot mabl
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
mabl
- Tests are stored in a proprietary format and cannot be exported as runnable code, so migrating to Playwright or Cypress later means re authoring every test by hand.
- Auto healing can mask a genuine defect: if an element is removed and a similar one takes its place, the test adapts and passes when a user facing regression has actually shipped.
- Pricing is not published and is driven by concurrent run capacity, so the cost of shortening a two hour suite to twenty minutes is a renegotiation rather than a configuration change.
- Debugging a failure happens inside a hosted runner you do not control, which makes flakiness caused by test data or environment timing harder to reproduce locally than with a suite you run yourself.
- Native mobile application coverage is thin compared with the browser product, so teams with an iOS or Android app still need a second tool such as Appium or Maestro.
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
mabl
On request- mabl$undefined/year
- Annual subscription quoted per organisation, with the number of concurrent cloud runs as the main cost driver
- Trial available without a sales call, full pricing is not published
Split
On request- Harness FreeFree
- Harness Open Source and community support
- Intended for individuals and small teams
- Feature management capability limited at this tier
- Harness Essentials$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 mabl if
- You need trainer recorder.
- You work on Web, macOS, Windows, Linux.
- You also want auto healing selectors.
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 mabl or Split better?
- Neither clearly leads. mabl starts at On request and Split at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, mabl or Split?
- mabl starts at On request and Split at On request.
- Does mabl or Split run on more platforms?
- mabl runs on Web, macOS, Windows, Linux. Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET.
- What is mabl best used for?
- mabl is most often used for a qa team of two or three people responsible for regression coverage across a web application released weekly, an organisation that abandoned a selenium suite because maintenance consumed more time than manual testing did, teams that need accessibility scanning and functional regression reported in the same run, product companies where non engineers, such as support or business analysts, are expected to author tests. Of those, a qa team of two or three people responsible for regression coverage across a web application released weekly and an organisation that abandoned a selenium suite because maintenance consumed more time than manual testing did are not what Split is typically brought in for.
- What can mabl do that Split cannot?
- mabl covers Trainer recorder, Auto healing selectors, API testing, Accessibility checks. Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing.
Answered from the vendors’ own pages
mabl: Can I export mabl tests to Playwright if we leave?
No. You can export documentation of the steps, but not runnable code. Budget for re authoring the suite.
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.
mabl: Does auto healing actually work?
It works often enough to be the reason people buy it, but it cannot be verified from a demo. Trial it against your own application through at least two real releases.
Split: Can I buy just feature flags?
Not from a price list. Harness publishes bundle tiers and directs single-module buyers to sales.
mabl: Is mabl a replacement for unit tests?
No. It covers end to end journeys through a running application. Unit and integration coverage still belongs in your repository.
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.
Related pages
Other head to heads
- mabl vs BrowserStack
- mabl vs Playwright
- mabl vs Cypress
- mabl vs Testsigma
- mabl vs QA Wolf
- mabl vs Katalon
- mabl vs Tricentis Tosca
- mabl vs Robot Framework
- mabl vs Ranorex
- mabl vs WebdriverIO
- mabl vs Detox
- mabl vs CircleCI
- mabl vs TestNG
- mabl vs Applitools
- mabl vs pytest
- mabl vs Percy
- mabl vs Jest
- mabl vs Eppo
- mabl vs GrowthBook
- mabl vs Kameleoon
- mabl vs Selenium
- mabl vs TestRail
- mabl vs Sauce Labs
- mabl vs Vitest
- mabl vs Cucumber
- Split vs BrowserStack
- Split vs Playwright
- Split vs Cypress
- Split vs Testsigma
- Split vs QA Wolf
- Split vs Katalon
- Split vs Tricentis Tosca
- Split vs Robot Framework
- Split vs Ranorex
- Split vs WebdriverIO
- Split vs Detox
- Split vs CircleCI
- Split vs TestNG
- Split vs Applitools
- Split vs pytest
- Split vs Percy
- Split vs Jest
- Split vs Eppo
- Split vs GrowthBook
- Split vs Kameleoon
- Split vs Selenium
- Split vs TestRail
- Split vs Sauce Labs
- Split vs Vitest
- Split vs Cucumber