Introducing Tecton 0.8: Seamless Machine Learning Feature Development With Unparalleled Performance & Cost

January 18, 2024

Learn how Tecton 0.8 can improve performance and lower infrastructure costs by up to 100x, provide ways to develop new types of machine learning features, and more in this blog post.

What Is a Feature Platform for Machine Learning?

July 8, 2022

Tecton CTO Kevin Stumpf explains in this post the differences between a feature store and feature platform for machine learning.

What Is Operational Machine Learning?

May 26, 2022

In this post, Kevin Stumpf, CTO of Tecton, describes what operational ML really is and gives practical examples to understand how it works.

Our Culture and Values

April 18, 2022

Before starting Tecton, Mike and I were at Uber for several years. Uber had a unique culture. It motivated people to work hard, move fast, and build a business that impacts millions of people at incredible speed. But it also created an environment …

Building Production-Ready Machine Learning Features on Snowflake with Tecton’s Feature Store

March 26, 2022

We are excited to announce the integration of Tecton’s enterprise feature store and Feast, the popular open source feature store, with Snowflake. The integration, available in preview to all Snowflake customers on AWS, will enable data teams to …

2021 at Tecton: A Year in Review

December 29, 2021

2021 is a wrap, and what a year it has been! As we head into the New Year, I want to take a look back at what we’ve accomplished this year and share with you some of the things I expect for 2022. Tecton has experienced a huge amount of growth this …

Real-Time Aggregation Features for Machine Learning (Part 2)

June 2, 2021

In the following sections, we describe an approach to solving these challenges that we’ve proven out at scale at Tecton, and that has been used successfully in production at Airbnb and Uber for several years. The discussed approach explains …

Real-Time Aggregation Features for Machine Learning (Part 1)

June 2, 2021

Machine Learning features are derived from an organization’s raw data and provide a signal to an ML model. A very common type of feature transformation is a rolling time window aggregation. For example, you may use the rolling 30-minute order count …

Data Software-as-a-Service: The Case for a Hybrid Deployment Architecture

March 17, 2021

Lior Gavish & Kevin Stumpf As founders of companies that build solutions designed to help teams deliver on the promise of data, we knew we wanted to build great products that are easy to deploy and manage for our customers.  We also knew …

Why We Need DevOps for ML Data

April 28, 2020

Getting machine learning (ML) into production is hard. In fact, it’s possibly an order of magnitude harder than getting traditional software deployed. As a result, most ML projects never see the light of production-day and many organizations simply …