Split logo
Split provides a unified solution for feature flags and experimentation

What is Split?

Feature flags as a service for data-driven teams: Split automatically tracks changes to key metrics during every feature rollout. Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products.
Split is a tool in the Feature Flags Management category of a tech stack.

Who uses Split?



Split Integrations

Slack, Jira, New Relic, Datadog, and HipChat are some of the popular tools that integrate with Split. Here's a list of all 12 tools that integrate with Split.

Why developers like Split?

Here’s a list of reasons why companies and developers use Split
Top Reasons
Be the first to leave a pro

Split's features

  • Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics
  • Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time
  • Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results
  • Easy-to-use Web Console - Split's UI gives anyone on the team the power to target feature releases, ramp up features to your customers, and instantly kill problem features

Split Alternatives & Comparisons

What are some alternatives to Split?
Serving over 200 billion feature flags daily to help software teams build better software, faster. LaunchDarkly helps eliminate risk for developers and operations teams from the software development cycle.
Open source, holistic experiment system, that covers the lifecycle of product experimenting including A/B tests and feature toggles.
Airship is a modern product flagging framework that gives the right people total control over what your customers see & experience - without deploying code.
Roll out
It is an advanced feature management solution that gives engineering and product teams feature control, post-deployment. It's the most effective way to roll out new features to the right audience while protecting customers from failure and improving KPI’s.
Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions.
See all alternatives

Split's Stats

- No public GitHub repository available -