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Statsig vs. Split

Statsig is the leading experimentation platform—with the most powerful stats engine—empowering teams to ship faster, automate a/b testing, and make data-driven decisions at scale.

Split is a reliable and quick feature delivery tool, allowing users to release features securely, and measure their impact.

Statsig’s four main advantages over split are:

  • An intuitive and thoughtfully-designed user interface

  • Advanced analytics including CUPED, Bonferroni correction, and sequential testing

  • Seamless operation in users’ warehouses or ours

  • Impact analysis for every single feature

Left Bracket
Left Bracket

Statsig vs. Split

Feature Comparison
Feature gates
Launch features behind gates with custom parameters
Feature Flags with Analytics
Automatically quantify the impact on every single feature your teams ship
No seat-based pricing
Enable all teams within the company to have access to data and build an experimentation culture
Unlimited MAU
Pricing is not based on MAU
Near real-time analytics
Get results, especially negative ones, within 15mins of launching the experiment/feature
Experiments
Run multivariate experiments with ease and confidence
Smart Scheduled Rollouts
Set up advanced scheduled rollouts and let the system take care of smartly rolling out features
Guardrails and Alerting
Establish guardrails for your core critical metrics and let the system alert you when any experiment breaches those guardrails
Real-time Diagnostics
See incoming events and metrics in real-time to know if a rollout or experiment is working
Advanced insights
Analytics that show which features are impacting a KPI
Advanced targeting out of the box
Experiment and Feature rollouts based on granular conditions like app version, mobile/desktop, country, etc.
Collaboration features
Collaboration features like discussions, tagging, commenting, sharing, etc. allow teams to move fast and arrive at the right decisions
Global Holdouts
Track the impact of multiple experiments and features over time against a baseline.
Advanced Stats engine
Advanced features such as CUPED, Bonferroni correction, sequential testing.
Accessible Analytics
Discover trends, ignore novelty effects, leverage seasonal effects
Change Logs History with Revert
Easy to review past changes and revert to a known good state
* This comparison data is based on research that was conducted in September 2023.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
CPO
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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