What is a Feature Store?

Feature Store

A machine learning infrastructure tool that handles offline and online feature transformations. Think of them as the interface between your models and data. Feature stores are used to:
Serve as the central source for feature transformations
Allow for the same feature transformations to be used in both offline training and online serving
Enable team members to share their transformations for experimentation
Provide a strong versioning for feature transformation code

Feature Store graphic

Sign up for our monthly newsletter, The Drift.

Subscribe