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Testing · head to head

Split vs Statsig

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
-
Full reviewWebsite
Statsig logo

Statsig

Project Management

Unified platform for feature flags, A/B testing, and product analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Statsig 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.; Statsig pro plan is limited to a single project, requiring Enterprise for multi-project support.
  • They diverge on capability: Split covers Feature flags with targeting, Statsig covers Feature Flags.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Split and Statsig actually diverge.

Attributes where Split and Statsig differ
AttributeSplitStatsig
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsWeb, API, iOS, Android, Java, Node.js, Python, Go, .NETweb, api
CategoryTestingProject Management

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 Statsig

  • Feature Flags
  • Experimentation
  • Product Analytics
  • Session Replay
  • Web Analytics
  • Warehouse-Native Deployment
  • Role-Based Access & SSO

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 Statsig
  • Running A/B tests with real statistical significance rather than comparing two dashboard linesnot Statsig
  • Catching a regression at five per cent rollout because a guardrail metric fires before the change reaches everyonenot Statsig
  • A team already committed to Harness for CI and CD that wants flags in the same platform and contractnot Statsig

Statsig

  • Rolling out features gradually with kill switchesnot Split
  • Running A/B tests with statistical rigornot Split
  • Tracing metric regressions to specific releasesnot Split
  • Consolidating analytics and experimentation toolingnot Split
  • Warehouse-native experimentation for data teamsnot 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.

Statsig

  • Pro plan is limited to a single project, requiring Enterprise for multi-project support.
  • Overage pricing on the Pro plan can become costly for high-event-volume products.
  • Warehouse-native deployment and advanced access controls are gated behind custom Enterprise contracts.
  • Free tier session replay and analytics retention are capped, pushing active teams toward paid tiers quickly.

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

Statsig

Free
  • DeveloperFree
    • 2M events/month
    • Unlimited flag & config checks
    • 50,000 session replays/month
  • Pro$150/month
    • 5M events included, then $0.05 per 1K events
    • Advanced experimentation & analytics
    • Unlimited analytics retention
  • Enterprise$undefined/month
    • Volume-discounted event/experiment contracts
    • Warehouse-native deployment
    • SSO & role-based access controls

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.
Split review

Choose Statsig if

  • You need feature flags.
  • You want to start without paying.
  • You work on web, api.
  • You also want experimentation.
Statsig review

Questions people ask

Is Split or Statsig better?
Neither clearly leads. Split starts at On request and Statsig at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Split or Statsig?
Statsig has a free tier; the other does not. Paid plans start at On request for Split and Free for Statsig.
Does Split or Statsig run on more platforms?
Split runs on Web, API, iOS, Android, Java, Node.js, Python, Go, .NET. Statsig runs on web, api.
Can I use Statsig for free?
Yes. Statsig 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 Statsig is typically brought in for.
What can Split do that Statsig cannot?
Split covers Feature flags with targeting, Metrics impact engine, Guardrail metrics, Statistical significance testing. Statsig covers Feature Flags, Experimentation, Product Analytics, Session Replay.

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.

Statsig: What does Statsig cost?

Statsig offers a free Developer tier, a Pro tier at $150/month with 5M included events and $0.05 per 1,000 events after that, and custom Enterprise pricing based on event or experiment volume.

Source
Split: Can I buy just feature flags?

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

Statsig: Is there a free plan, and what are its limits?

The free Developer plan includes 2M events per month, unlimited flag and config checks, 50,000 session replays per month, and 1-year analytics data retention with unlimited seats.

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.

Statsig: How is usage metered on Statsig?

Statsig meters billable events including exposures with Metric Lifts enabled, log events from SDKs or imports, ingested warehouse metrics, and custom metrics; disabled flag checks are not metered.

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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