Softwr

Testing · head to head

Split vs Unleash

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
-
Unleash logo

Unleash

Software Development

Open-source feature flag and experimentation service

From
Free
Rated
-

The short version

  • Only Unleash has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Unleash the Pay-As-You-Go plan is priced per seat, which can get costly for larger teams.
  • They diverge on capability: Split covers Feature flags with targeting, Unleash covers Feature flags.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Split and Unleash actually diverge.

Attributes where Split and Unleash differ
AttributeSplitUnleash
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWeb, API, iOS, Android, Java, Node.js, Python, Go, .NETweb, api, linux
CategoryTestingSoftware Development

Identical on both: user rating (Not yet rated).

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 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

Only in Unleash

  • Feature flags
  • A/B/n testing
  • Custom targeting
  • SDKs
  • SSO
  • Audit logs

What people use each for

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

Split

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

Unleash

  • Gradual and progressive feature rolloutsnot Split
  • Running A/B/n experiments tied to flagsnot Split
  • Self-hosting feature management for compliance needsnot Split
  • Enterprise SSO-controlled feature flag governancenot Split

Where each one falls short

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

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.

Unleash

  • The Pay-As-You-Go plan is priced per seat, which can get costly for larger teams.
  • Self-hosted Enterprise requires a minimum of 5 seats and an annual contract.
  • Additional API traffic beyond the included quota is billed per million requests.
  • Advanced SLAs and dedicated customer success are reserved for the custom Enterprise tier.

Pricing, plan by plan

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

Unleash

Free
  • Pay-As-You-Go$75/month
    • Cloud-hosted
    • 53M API requests/month included
    • Unlimited feature flags, projects and environments
  • Custom Enterprise$undefined/mo
    • Cloud, self-hosted or hybrid
    • Premium support options
    • 99.99% uptime SLA

Which should you pick?

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.

Choose Unleash if

  • You need feature flags.
  • You want to start without paying.
  • You work on web, api, linux.
  • You also want a/b/n testing.

Questions people ask

Is Split or Unleash better?
Neither clearly leads. Split starts at On request and Unleash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Split or Unleash?
Unleash has a free tier; the other does not. Paid plans start at On request for Split and Free for Unleash.
Does Split or Unleash run on more platforms?
Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET. Unleash runs on web, api, linux.
Can I use Unleash for free?
Yes. Unleash has a free tier, so you can try it without paying. Split starts at On request.
What is Split best used for?
Split is most often used for a product organisation that wants every release measured against conversion and latency by default, not only deliberate experiments, running a/b tests with real statistical significance rather than comparing two dashboard lines, catching a regression at five per cent rollout because a guardrail metric fires before the change reaches everyone, a team already committed to harness for ci and cd that wants flags in the same platform and contract. Of those, a product organisation that wants every release measured against conversion and latency by default, not only deliberate experiments and running a/b tests with real statistical significance rather than comparing two dashboard lines are not what Unleash is typically brought in for.
What can Split do that Unleash cannot?
Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing. Unleash covers Feature flags, A/B/n testing, Custom targeting, SDKs.

Answered from the vendors’ own pages

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.

Unleash: What does Unleash cost?

Unleash offers a Pay-As-You-Go cloud plan at $75/seat/month with a 14-day free trial, plus a custom-priced Enterprise plan for self-hosted or hybrid deployments.

Source
Split: Can I buy just feature flags?

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

Unleash: How is usage metered?

The Pay-As-You-Go plan includes 53M API requests per month, with additional traffic billed at $5 per million requests thereafter.

Source
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.

Unleash: What does Unleash integrate with, and is there an API?

Unleash provides an API and 25+ official SDKs across languages, along with SSO integrations via SAML 2.0 and OpenID Connect.

Source
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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