Experimentation & feature flags · Harness

Harness Feature Management & Experimentation (formerly Split)

Feature-flag platform with built-in statistical experimentation, acquired by Harness and sold as an Enterprise-plan module (Harness FME).

Visit Harness Feature Management & Experimentation (formerly Split) Alternatives

Split provided feature flags with built-in impact monitoring and experimentation, comparing metrics between flagged cohorts to detect statistically significant differences and regressions as flags rolled out. Harness acquired Split and now sells the capability as Feature Management & Experimentation (FME) within its broader software delivery platform, alongside CI/CD, cloud cost management, and other modules. Like other flag-first platforms (LaunchDarkly, Unleash, Flagsmith), FME reads events from its own SDK-based telemetry tied to flag exposure rather than querying a customer's data warehouse, so experiments are scoped to what the flag system observes. It targets engineering teams already using or considering Harness for delivery pipelines who want experimentation bundled with flagging rather than as a separate warehouse-native tool.

At a glance

Vendor Harness
Pricing model Quote only
Free tier —
Deployment Cloud
Open source No
Best for Teams already using or evaluating Harness for delivery pipelines who want flagging and experimentation in the same platform.

Pricing

Bundled only in Harness's Enterprise plan; no standalone public pricing.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • Feature flags with targeting rules and progressive delivery
  • Built-in impact monitoring against flag rollouts
  • Statistical experimentation on flag-exposed cohorts
  • SDK-based event collection
  • Bundled with Harness CI/CD and delivery platform
  • Alerting on metric regressions during rollout

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

LaunchDarkly Feature-flag management platform that also runs experiments on flagged rollouts, reading event data it collects itself rather than the warehouse. Unleash Open-source feature-flag platform with rollout-based experimentation, moved from Apache-2.0 to AGPLv3 licensing in mid-2026. Flagsmith Open-source (BSD-3-Clause) feature-flag and remote-config platform with basic A/B testing on flagged traffic, self-hostable or cloud.

Harness Feature Management & Experimentation (formerly Split) in the index now

Terms to know

A/B testing A controlled experiment that compares two variants to measure which one produces a better outcome. Statistical significance A threshold judgment that an observed effect is unlikely to be due to chance alone, given the data and test used. Data warehouse A centralized, structured database optimized for fast historical reporting rather than day-to-day transactions.

Related guides

How to choose an experimentation and feature-flag platform Pick by where your experiment data comes from — flag telemetry or your own warehouse — and which statistical engine your team trusts, not feature count.