Split

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

As of 31 August 2026, Split's pricing is not published; the vendor quotes on request. A feature flag platform whose real product is measurement: every flag is wired to metrics so a rollout automatically reports whether it moved conversion or broke latency. Softwr lists it under Testing. Split is made by Harness Inc., available on Web, API, iOS, Android.

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Overview

What Split does

Split combines feature flagging with an impact measurement engine. Flags control who sees what, as everywhere else, but Split also ingests events and metrics and attributes changes in those metrics to the specific flag that caused them, with statistical significance testing. A team can ship behind a flag, roll it to five per cent, and get an automatic alert that the treatment group is showing a rise in error rate or a fall in checkout completion before the rollout goes further. That measurement layer is the distinguishing capability and the reason to consider it over a pure flag service. It turns feature flags into an experimentation platform without a separate analytics integration, and the guardrail metrics function as an automated safety check on every release rather than only on deliberate A/B tests. For product organisations that want every change measured by default, it removes the step where somebody has to remember to build the analysis. The commercial fact that dominates any evaluation is ownership. Harness acquired Split and it is now sold as Harness Feature Management and Experimentation, one module in a larger DevOps platform; split.io redirects to the Harness pricing page, which no longer publishes module prices and directs buyers to sales. That means an organisation buying it is now buying into a Harness commercial relationship, and single-module pricing is a negotiation rather than a list price. Buyers are product and engineering organisations with enough traffic for statistical tests to conclude, which in practice means substantial volume.

What people use it 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

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about 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.

Cross-shopped

What people choose instead of Split

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Splitvs
LaunchDarkly
LaunchDarkly: If you want a flag platform that is still an independent product with published enterprise positioning
Splitvs
Flagsmith
Flagsmith: If you only need flags and want an open source option with predictable cost
Splitvs
Statsig
Statsig: If experimentation and statistics are the priority and you want per-event pricing you can see
Splitvs
Optimizely
Optimizely: If experimentation across web and content matters more than developer-side flag control

Pricing

What Split costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Harness Free

Free

Harness Open Source and community support
Intended for individuals and small teams
Feature management capability limited at this tier

Harness Essentials

On request

Bundled DevOps modules including CI, CD, IaC and security testing
Standard support
Pricing requires contacting sales

Harness Enterprise

On request

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
Quoted only

Capabilities

Features

Feature flags with targeting
Rules by user attribute, segment and percentage rollout
Metrics impact engine
Attributes changes in your metrics to the specific flag that caused them
Guardrail metrics
Automatic alerting when a treatment group degrades a protected metric
Statistical significance testing
Proper experiment analysis rather than eyeballing a dashboard
Event ingestion
Send product and performance events for attribution
SDKs and streaming updates
Server and client SDKs with near real-time flag propagation
Audit and approvals
Change history and approval workflow for flag changes
Harness platform integration
Ties into Harness CI, CD and pipeline modules

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

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.

Can I buy just feature flags?

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

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.

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.

Keep looking

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Softwr does not host reviews and shows no star rating for Split, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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