Control feature rollouts, run server-side experiments, and manage releases with confidence.
Enterprise feature management platform with advanced targeting, experimentation, and real-time flag evaluation for controlled rollouts.
Data-driven feature flag and experimentation platform that automatically measures the impact of every feature on key metrics.
Open-source feature flagging and A/B testing platform with warehouse-native analytics and flexible self-hosted or cloud deployment.
Open-source feature flag and remote config platform with flexible deployment options and multivariate flag support.
Cross-platform feature flag service with flat usage-based pricing, unlimited team members, and a generous forever-free plan.
All-in-one product analytics platform with built-in feature flags, A/B testing, session replay, and surveys.
Feature flag platform with strong role-based access controls, activation strategies, and enterprise security features.
Feature delivery platform combining feature flags with data-driven insights to measure the impact of features on user experience.
Open-source, self-hosted feature flag solution with a Git-based workflow and no external dependencies.
Developer-focused feature flag platform with edge-based evaluation, OpenFeature support, and usage-based pricing.
Enterprise feature flag module within the Harness DevOps platform, offering controlled rollouts and pipeline-integrated flag management.
Free feature flagging solution from Optimizely with controlled rollouts, targeted releases, and a path to full experimentation.
Enterprise feature flag management platform with configuration-as-code, compliance controls, and advanced deployment rules.
Feature flags control whether a feature is visible to users and are primarily a release management tool. A/B testing measures the impact of variations. Many feature flag tools now include experimentation capabilities, blurring the line.
Yes — feature flags are ideal for server-side experiments where you need to vary backend logic, API responses, or algorithms. They give engineering teams more control than client-side testing tools.