Powering experimentation at top companies around the world
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Enhance the power of the Lakehouse with Eppo
Eppo makes more possible on Databricks
Easy integration with your existing data infrastructure
Eppo provides enterprise-grade feature flagging SDKs, or allows you to use your existing feature flagging tools.
Centralize your end-to-end experimentation workflows
From planning to monitoring to analyzing experiments across the org for every use case so you don’t have a point solution tool sprawl.
Deep, trustworthy statistical analysis out-of-the-box
Use source-of-truth metrics in your lakehouse and deploy out-of-the-box advanced stats methods that save weeks of experiment run time, including CUPED experiment acceleration and sequential analysis.
Outcomes
Build conviction based on trustworthy statistics
Eppo highlights statistically significant shifts across all your metrics for each experiment.
Reduce complexity and cost
With Eppo and Databricks, the entire data and product team can work in the same platform — avoiding redundant costs and simplifying architecture management.
Expand collaboration and discoverability
Eppo on Databricks brings experimentation best practices to all Databricks users, and Eppo’s intuitive interface makes experimentation results and exploration more accessible to the non-technical teams.
Resources on Eppo and Databricks
The Modern Experimentation Workflow with Eppo + Databricks
Building your experimentation workflow where your modeling logic and core metrics live helps those conducting the analysis to illustrate impact efficiently and effectively, as well as build trust with stakeholders.
In this blog post, Eppo Customer Data Scientist Lukas Goetz-Weiss outlines how Eppo and Databricks are the perfect combination for the modern experimentation workflow.
