Develop a Custom Feature Store

Learning how to develop a custom feature store.

Before diving into the specifics of this component type, it is beneficial to familiarize yourself with our general guide to writing custom component flavors in ZenML. This guide provides an essential understanding of ZenML's component flavor concepts.

Feature stores allow data teams to serve data via an offline store, and an online low-latency store where data is kept in sync between the two. It also offers a centralized registry where features (and feature schemas) are stored for use within a team or wider organization.

Base abstraction in progress!

We are actively working on the base abstraction for the feature stores, which will be available soon. As a result, their extension is not possible at the moment. If you would like to use a feature store in your stack, please check the list of already available feature stores down below.

PreviousFeast

NextPython Client

Last updated 19 days ago