apply(recsys) Conference 2022 | Workshop: Choosing Feast or Tecton for Your RecSys Architecture

apply(recsys) Conference 2022 | Workshop: Choosing Feast or Tecton for Your RecSys Architecture
by:
Danny Chiao, Engineering Lead, Tecton
Jake Noble, Software Engineer, Tecton
Feature stores can be essential components of your infrastructure for recommender systems. They simplify the process of deploying and managing RecSys models. But users often wonder which one is better suited for their use cases - Feast or Tecton? These two products are very different and address different requirements. In this workshop, we’ll give a hands-on, step-by-step example of building RecSys models using both Feast and Tecton. And we’ll provide our recommendations on when to use which product.
apply(): The ML data engineering Conference
Presented by Tecton
Connect with us:
Slack: slack.feast.dev/
LinkedIn: / tect. .
Twitter: / tectonai

[@haneulkim4902]

Amaizng talk! I've two questions from watching.
1. Is it easy to transition from Feast to Tecton? I want to start small then expand functionalities.
2. In Feast's doc, it says it is not for super low latency. It says it cannot guarantee p99 feature retriecal latency to be less than 10ms. Does Tecton reducs latency?

[@haneulkim4902]

Hi, back again with one more question. How does FEAST handle realtime data? Does it register it straight to FEAST upon user interaction?