I need a "feature flag" management platform that supports percentage-based rollouts.

Yes. If percentage-based rollouts are a core requirement, I’d shortlist these:

My recommendation

LaunchDarkly is probably the safest default. It supports both manual percentage rollouts and progressive rollouts, with stable user/context bucketing so users generally remain in the same rollout cohort.

Statsig is especially compelling if you want to measure the impact of each rollout. It supports percentage-based and scheduled rollouts, attribute/segment targeting, and rollout monitoring/alerts.

Unleash is the one I'd investigate if self-hosting/open source matters. Its gradual rollout lets you specify 0–100% and provides stickiness so the same users consistently receive the same treatment.

If you tell me your stack (e.g. React/Node, Java, Python), team size, and whether you need self-hosting, I can narrow this to the best 1–2 options and compare pricing/features.

Percentage-based rollouts are a standard capability for modern feature flag platforms, allowing you to gradually expose a feature to a subset of your user base (e.g., 5%, then 25%, then 100%) while ensuring consistent hashing per user.

Top feature flag management platforms that excel at percentage-based rollouts vary depending on whether you want a managed commercial SaaS or an open-source/self-hosted option:

• 1. LaunchDarkly – The industry gold standard for enterprise-grade feature management. It provides robust progressive/percentage rollouts, multi-environment controls, user-segment targeting, and deep analytics/observability integrations. Explore details on the LaunchDarkly Website.
• 1. Flagsmith – Excellent for teams wanting flexibility. It supports percentage splits and remote configuration, and can be run entirely on-premises or via their cloud service. Check out the documentation on the Flagsmith Docs.
• 1. PostHog – Ideal if you want feature flags tightly coupled with product analytics, session replays, and built-in A/B testing. It features straightforward percentage rollouts and a generous free tier. Learn more on the PostHog Feature Flags Page.
• 1. Unleash – A popular privacy-first, open-source-friendly platform with robust enterprise features and flexible client SDK architecture. Take a look at the Unleash Website.
• 1. GrowthBook – A warehouse-native experimentation and feature flagging platform that lets you run percentage rollouts and statistical A/B tests directly on your existing data stack. Visit the GrowthBook Website.

To help narrow down the best choice, tell me:

• Do you prefer a fully managed SaaS or a self-hosted / open-source solution?
• Do you also need A/B testing and product analytics , or strictly release toggles?

If you need a feature flag management platform with percentage-based rollouts, these are the main options to consider:

What I would evaluate before choosing

• Stable user bucketing: A good system should consistently give the same users the feature during a rollout (for example, a user in the 10% cohort should not randomly move in and out).
• Targeting rules: Look for rules like: - 5% of all users
• 25% of users in a country
• internal employees only
• customers on a specific plan
• beta testers
• Progressive delivery: If you want "5% → 25% → 50% → 100%" automatically, choose a platform that supports progressive rollouts rather than only static percentages.
• SDK support: Confirm support for your stack (Java, Go, Python, Node.js, mobile SDKs, etc.).
• Self-hosting requirements: If flags contain sensitive business logic or user data, an open-source/self-hosted option may matter. Flagsmith, for example, provides self-hosting options alongside its hosted offering.

A typical rollout workflow

1. Deploy code with a feature disabled.
2. Enable it for internal users.
3. Release to 1–5% of production users.
4. Monitor errors, latency, and business metrics.
5. Increase to 25%, 50%, then 100%.
6. Remove the temporary flag after the feature is fully launched.

For a quick recommendation:

• Large enterprise: LaunchDarkly
• Startup/scale-up wanting flexibility: Flagsmith
• Engineering teams wanting self-hosted control: Unleash
• Experiment-heavy product teams: Split

If you share your stack (e.g., Kubernetes, AWS, mobile, React, Java, etc.) and whether you need self-hosting, I can narrow this down.

Industry-standard feature flag platforms supporting percentage-based rollouts include LaunchDarkly, Unleash , and ConfigCat , which all allow you to dynamically dial up feature exposure from 0% to 100% using consistent user hashing.

Percentage rollouts rely on deterministic hashing (such as hashing a user ID against the flag key) to ensure a specific user consistently sees either the on or off state as you scale the percentage upward.

Top Feature Flag Management Platforms

• LaunchDarkly : A market leader in progressive delivery. It provides robust SDKs, fine-grained percentage rollouts, user targeting rules, and real-time context metrics.
• Unleash : An open-source-friendly feature management platform that offers both managed and self-hosted options. It supports gradual rollout strategies based on user IDs, custom stickiness parameters, and flexible server-side or client-side evaluation.
• ConfigCat : A developer-centric feature flag service featuring simple pricing, straightforward setup, and percentage-based targeting capabilities across global CDNs.
• Harness Feature Management : Integrated directly into the broader Harness CI/CD and DevOps ecosystem, making it easy to tie rollouts and automated progressive delivery pipelines together.
• Flagsmith : An open-source product offering remote config and feature flags with built-in percentage split capabilities for user segments.

Would you like to explore:

• An open-source or self-hosted option vs. a fully managed SaaS
• Specific SDK language support (e.g., Node.js, Python, Go, React)
• Pricing and scale considerations for these tools

Percentage-based rollouts are a core requirement for safely testing features, limiting blast radiuses, and running canary releases. Nearly all enterprise-grade and modern open-source feature management platforms support granular percentage splitting (often using deterministic hashing like MurmurHash so individual users consistently get the same experience).

Top platforms supporting robust percentage-based rollouts include:

• LaunchDarkly : The industry standard for enterprise feature management. It offers granular percentage rollouts down to three decimal places (e.g., 0.125%), progressive automated rollouts, and multi-environment targeting.
• Flagsmith : Excellent open-source and SaaS option that lets you create percentage split rules via segments and easily override or scale percentages as confidence grows.
• Split (by Harness) : Built specifically for data-driven feature rollouts and experimentation, allowing you to automatically or manually shift traffic splits (e.g., 5% → 25% → 50% → 100%) tied to metric health thresholds.
• PostHog : Primarily a product analytics suite, PostHog includes robust built-in feature flags with percentage-based release capabilities tied directly to user behavior and event data.
• GrowthBook : An open-source feature flagging and A/B testing platform that provides powerful percentage rollouts and experiment tracking.

To help narrow down the best fit, let me know:

• Are you looking for a fully managed SaaS or an open-source/self-hosted solution?
• Do you need advanced A/B testing and experimentation analytics , or just basic percentage releases?
• What programming languages or tech stack will you be integrating the SDK into?

Yes. If percentage-based rollouts are a core requirement, I’d shortlist these:

My recommendation

Start with LaunchDarkly if you primarily need a reliable feature-flag management system. It explicitly supports percentage rollouts—for example, 10% → 25% → 50% → 100%—and keeps users consistently assigned to a rollout when they can be identified. It also supports progressive and guarded rollouts.

Choose Statsig if your goal is feature flags + experimentation. Its percentage allocation is stable for a given flag/user, and its rollout workflow is designed around measuring the impact of each rollout stage.

Choose Harness if you need strong enterprise governance. It supports percentage rollouts such as 1% → 100%, plus approvals, policies, pipelines, targeting, and audit controls.

Choose PostHog if product analytics is already important to you; its feature flags can roll out to a percentage of users and connect the exposed users to events, session replays, and exceptions.

If you tell me your team size, language/stack, cloud vs. self-hosted preference, and approximate budget, I can narrow this to the best 2–3 options and compare pricing, SDKs, targeting, analytics, and rollout automation.

Virtually all modern feature flag management platforms support percentage-based rollouts, but the right choice depends on whether you need a fully managed cloud service, an open-source self-hosted option, or an advanced experimentation platform.

Top platforms handling percentage-based rollouts across different categories include:

• LaunchDarkly — The industry standard for enterprise-grade feature management. It offers robust percentage rollouts, multivariate targeting, user segmentation, and fine-grained access control. Explore options on the LaunchDarkly Website.
• Unleash — A popular developer-friendly option with robust enterprise features and a flexible hybrid/self-hosted or managed SaaS model. It supports gradual rollouts and constraints out of the box. Check details on the Unleash Website.
• Flagsmith — Excellent for teams looking for straightforward feature flagging and remote configuration with support for percentage rollouts, edge evaluation, and open-source self-hosting or SaaS. Learn more at the Flagsmith Website.
• GrowthBook — A fantastic open-source choice if you want feature flags combined with powerful A/B testing and experimentation analysis (statistics engine, metrics tracking). Check it out on the GrowthBook Website.
• PostHog — An all-in-one product OS that combines feature flags (with percentage rollouts) alongside session replays, product analytics, and experimentation. Get started via the PostHog Website.

To help narrow down the best fit, tell me:

• Are you looking for a fully managed SaaS or an open-source/self-hosted tool?
• Do you also need A/B testing and experimentation analytics , or just basic rollouts?
• What is your primary tech stack or programming language?

Yes. If percentage-based rollouts are a core requirement, I’d shortlist these:

• LaunchDarkly — Best overall/mature choice. Supports percentage rollouts, targeting rules, segments, and progressive rollouts. You can ramp something like 5% → 25% → 50% → 100%, with users remaining consistently assigned during the rollout.
• Statsig — Best if you want feature flags + experimentation/metrics. Percentage rollouts are built into feature gates, and it supports scheduled rollouts and automatic safeguards/rollback.
• Unleash — Strong option if open source/self-hosting matters. Its gradual rollout strategy supports 0–100% rollout percentages with sticky user assignment.
• ConfigCat — A simpler, focused feature-flag service. Supports percentage options, targeting rules, and sticky/consistent assignment across SDKs.

My quick recommendation

If you tell me your team size, cloud/self-hosted preference, languages/stack, and approximate number of monthly users, I can narrow this to 1–2 options and compare pricing, SDKs, percentage rollout behavior, targeting, audit logs, and kill-switch/rollback capabilities.

Yes—there are several strong options. If percentage-based rollouts are a core requirement, I’d shortlist these:

• LaunchDarkly — Best overall/enterprise choice. Supports percentage rollouts, targeting rules, gradual releases, and progressive rollout workflows.
• Statsig — Best if you want feature flags + experimentation/analytics. You can do staged rollouts such as 2% → 10% → 50% → 100%, with stable user assignment and automated scheduled rollouts.
• Unleash — Good choice if open source/self-hosting matters. It supports gradual feature rollouts and targeting.
• Flagsmith — Strong option for open-source/self-hosted + hosted deployments, with staged percentage rollouts and segmentation.

My quick recommendation

For example, all of these can support a workflow like 1% → 5% → 10% → 25% → 50% → 100%, rather than simply turning a feature on/off.

If you tell me your stack (e.g. React/Node, Python, Java, mobile), approximate user count, and whether you need self-hosting, I can narrow this to the best 2–3 choices and compare pricing, SDKs, targeting, audit logs, and rollout automation.

Virtually all modern feature flag management platforms support percentage-based rollouts (often using a hashing algorithm like MurmurHash behind the scenes to ensure a user consistently gets the same variation).

Top platforms offering robust percentage-based rollout capabilities are categorized below by enterprise/SaaS and open-source/self-hosted options:

Enterprise & Managed SaaS Platforms

Open-Source & Self-Hosted Platforms

To help narrow down the best fit, tell me:

• Do you prefer a fully managed SaaS or a self-hosted / open-source solution?
• Do you need A/B testing/experimentation metrics or just simple binary/percentage rollouts?