Choosing the Right Feature Store: Feast or Tecton?

December 22, 2022 by Danny Chiao, Rohit Agrawal

See a side-by-side deep-dive comparison of Feast and Tecton.

Feature Stores vs. Feature Platforms: Which One Is Right for Your Team?

October 19, 2022 by Danny Chiao, Rohit Agrawal

In part 2 of this 3-part series, we outline the differences between a feature store and a feature platform, and how they can help you overcome common challenges when building real-time ML in production.

Real-Time Machine Learning Challenges

October 19, 2022 by Danny Chiao, Rohit Agrawal

In Part 1 of this series, we do a deep dive into the most common challenges of building real-time ML in production and why they're so challenging. Future posts will talk about how companies solve these challenges.

Serving 100,000 feature vectors per second with Tecton and DynamoDB

November 16, 2021 by Eddie Esquivel, Rohit Agrawal

There is a class of Machine Learning models that require real-time data to make predictions – the process by which these models make predictions is known as Online Inference. Examples of these types of models are models that detect fraudulent …