Introducing Rift: Tecton’s Compute Engine

April 21, 2025

Introducing Rift: Tecton's high-performance feature engineering engine built with Arrow, DuckDB, and Ray. Learn why it outperforms traditional ML compute options.

Feature PlatformsProduct UpdatesEngineering

Choosing the Right Feature Store: Feast or Tecton?

December 22, 2022

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

Feature PlatformsFeature Stores

Feature Store vs. Feature Platform

October 19, 2022

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.

Feature StoresFeature Platforms

Real-Time Machine Learning Challenges

October 19, 2022

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.

Feature PlatformsFeature Stores

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

November 16, 2021

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 …

TutorialsPartners & Integrations