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Split
Intelligent Feature Management and Experimentation for Faster, Safer Releases

What is Split?

Split is an advanced feature management and experimentation platform designed for modern development teams looking to accelerate their software releases without compromising quality or user experience. By combining powerful feature flagging capabilities with integrated observability and A/B testing, Split enables teams to safely manage incremental feature rollouts and gain real-time insights into the impact of deployed features. The platform's patented attribution engine delivers deep contextual visibility, ensuring that every release can be closely monitored for performance and user response.

With Instant Feature Impact Detection (IFID), developers and product teams can rapidly identify and resolve issues during progressive delivery, avoiding the risks of traditional deployment methods. Split supports integration with popular analytics and monitoring tools, provides enterprise-level control and security, and is compatible with major programming languages via SDKs, helping organizations drive data-driven innovation while maintaining compliance and governance at scale.

Features

  • Feature Flag Management: Create, target, and manage feature flags at enterprise scale for safer, accelerated releases.
  • Feature Observability: Monitor the impact of every feature rollout, supporting instant detection of performance or user behavior issues.
  • Experimentation and A/B Testing: Run data-driven experiments to evaluate feature performance and user acceptance directly within the platform.
  • Instant Feature Impact Detection: Automatically pinpoint the effects of each change, enabling immediate response to issues during progressive delivery.
  • SDK Integration: Supports a wide range of programming languages and platforms for easy adoption into existing engineering workflows.
  • Data Privacy and Security: Processes data locally, ensuring sensitive information remains within the application and meets enterprise compliance requirements.
  • Third-Party Integrations: Supports connections with analytics, error tracking, and performance monitoring tools for comprehensive insights.

Use Cases

  • Gradually rolling out new features to specific user segments for risk mitigation.
  • Measuring the business and technical impact of new releases using integrated A/B testing.
  • Quickly identifying and resolving issues caused by feature deployments.
  • Accelerating product development cycles through safe continuous delivery.
  • Enabling product and engineering teams to make data-driven decisions for feature releases.

FAQs

  • What integrations are supported out of the box?
    Split supports integrations with popular analytics, monitoring, error tracking, and collaboration tools such as Google Analytics, Segment, Sentry, Datadog, Jira, and New Relic.
  • How does Split ensure data privacy and security?
    Split processes data locally within the application via its SDK architecture, ensuring that sensitive customer information does not leave the user's environment.
  • Can Split manage feature flags at an enterprise scale?
    Yes, Split is designed to handle feature flag management and targeting across large organizations, supporting complex team structures and privacy requirements.

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