Best Feature Flagging and Experimentation Platforms (September 2026)

1

ConfigCat

Top pickFree plan

configcat.com

Best for Software teams needing feature rollout control

ConfigCat is a feature flag and configuration management service that lets development teams toggle features on or off without redeploying code. It supports targeting rules based on user attributes, percentage rollouts, and scheduled releases, with SDKs available for a wide range of programming languages and platforms. The dashboard allows non-technical stakeholders to manage flag states, while audit logs track configuration changes over time. ConfigCat integrates with common CI/CD and messaging tools, making it suitable for software teams of varying sizes looking to control feature releases, run A/B tests, and manage environments separately.

• Percentage-based rollouts
• User targeting rules
• Multi-environment management

2

Amplitude

amplitude.com

Best for Product teams using Amplitude analytics·Free trial

Amplitude is a digital analytics platform that also offers Experiment, a feature management and experimentation module enabling teams to roll out features gradually, target flags to specific user segments, and run A/B tests tied to product usage data. Because it is built on Amplitude's analytics core, flag changes and experiment results can be analyzed alongside broader behavioral metrics. It suits product and growth teams that already use Amplitude for analytics and want to connect feature rollouts directly to user engagement and conversion data.

• Feature flagging
• A/B testing
• Analytics-linked experimentation

3

AB Tasty

abtasty.com

Best for Product and marketing teams needing testing plus flags·Free trial

AB Tasty is an experience optimization platform that combines A/B testing, personalization, and feature flagging in a single interface. Its feature management capabilities allow product and engineering teams to roll out features gradually, target specific user segments, and toggle functionality without redeploying code. The platform is often used alongside its experimentation tools, letting teams test features before full release and measure their impact on user behavior. It suits marketing, product, and development teams that want experimentation and feature control combined in one system rather than as separate tools.

• Feature flagging
• A/B testing integration
• Audience targeting

4

Kameleoon

kameleoon.com

Best for Mid-size to large teams combining flags with testing

Kameleoon is an experience optimization platform that includes feature management and experimentation capabilities alongside A/B testing and personalization. It allows teams to control feature rollouts, target specific user segments, and run experiments to measure the impact of new functionality before full release. The platform combines client-side and server-side testing options, making it suitable for both marketing and engineering use cases. Kameleoon is generally used by mid-size to large organizations that want to unify feature flagging, experimentation, and personalization within a single system rather than maintaining separate tools.

• Feature flag targeting
• Server-side experimentation
• Personalization integration

5

Optimizely

optimizely.com

Best for Enterprises running experimentation and feature rollouts

Optimizely provides feature flagging capabilities as part of its digital experience and experimentation platform. Teams can use feature flags to control feature rollouts, toggle functionality without redeploying code, and run progressive delivery strategies alongside A/B testing. The platform supports experimentation at scale, allowing engineering and product teams to manage flags, target specific user segments, and measure the impact of changes. It is suited to mid-size and enterprise organizations that already run experimentation programs and want feature management integrated with testing and analytics tools rather than as a standalone utility.

• Feature flagging
• A/B testing integration
• Progressive rollouts

6

DevCycle

devcycle.com

Best for Engineering teams managing multi-platform releases·Free trial

DevCycle is a feature flag management platform that lets development teams control feature releases, run experiments, and manage configuration across web, mobile, and server applications. It provides SDKs for a range of programming languages and frameworks, along with targeting rules, gradual rollouts, and integrations with CI/CD and analytics tools. The platform includes a dashboard for managing flags across environments and teams, with permissions and audit tracking. DevCycle suits engineering teams looking to decouple deployment from release and reduce the risk associated with shipping new functionality.

• Feature flag targeting
• Gradual rollouts
• CI/CD integrations

7

Split

split.io

Best for Mid-size to large engineering teams·Free trial

Split is a feature flag management and experimentation platform that allows engineering teams to control feature rollouts, run A/B tests, and monitor the impact of changes through real-time metrics. It combines feature flagging with data analysis tools, letting teams correlate flag changes with performance and business metrics to catch regressions early. Split integrates with various data sources, CI/CD pipelines, and alerting systems. It suits mid-size to large engineering organizations that want to tie feature releases to measurable outcomes and need governance controls for managing flags across multiple services and environments.

• Feature flagging
• A/B testing
• Real-time impact monitoring

8

Eppo

geteppo.com

Best for Product and engineering teams running experiments·Free trial

Eppo is a feature management and experimentation platform that combines feature flags with statistical analysis for A/B testing. It allows teams to control feature rollouts, target specific user segments, and measure the impact of changes using warehouse-native data integrations. Eppo connects to a company's existing data warehouse to compute experiment results, aiming to keep analytics consistent with internal reporting. It suits product and engineering teams that want to pair release control with rigorous experimentation rather than using flags alone.

• Feature flag targeting
• Warehouse-native analytics
• A/B test statistical analysis

9

GrowthBook

Free plan

growthbook.io

Best for Engineering teams needing flags with A/B testing

GrowthBook is an open-source feature flagging and experimentation platform that allows teams to control feature rollouts and run A/B tests. It integrates with existing data warehouses to analyze experiment results using a Bayesian or frequentist statistics engine, rather than requiring a separate analytics pipeline. GrowthBook offers SDKs for multiple languages and frameworks, supports targeting rules and gradual rollouts, and can be self-hosted or used as a managed cloud service. It suits engineering and product teams that want to combine feature management with experimentation while retaining control over their own data.

• Feature flag targeting rules
• Built-in A/B test analysis
• Self-hosted or cloud deployment