The Tecton library of information on feature stores, technology, use cases, and reference architectures.


How Michelangelo ML Enabled Uber To Scale Up Its ML Models | Mike Del Balso – Tecton

Mike Del Balso is the co-founder and CEO of Tecton, where he is focused on building next-generation data infrastructure for Operational ML

White Papers

Tecton Feature Store Overview

Learn more about the Tecton feature store and how it brings DevOps principles to the complete lifecycle of ML features

Case Studies

Atlassian Case Study

Atlassian uses Tecton to accelerate deployment of ML models from months to days, and improve model accuracy.


Accelerating the ML Lifecycle with an Enterprise-Grade Feature Store

Talk from Spark+AI Summit 2020 with Mike Del Balso, Co-Founder and CEO of Tecton, and Geoff Sims of Atlassian.


TWiML Podcast
Feature Stores for MLOps with Mike Del Balso

TWiML podcast on bringing DevOps to ML data with feature stores.


Feature Stores to Accelerate AI Development

Panel discussion on ML data with industry thought leaders Kevin Stumpf, CTO of Tecton, Willem Pienaar, creator of Feast, and Maxime Beauchemin, creator of Apache Airflow.


Software Engineering Daily
Tecton: Machine Learning Platform from Uber with Kevin Stumpf

In this podcast, Kevin Stumpf, Co-Founder and CTO of Tecton, discusses his experience building Uber Michelangelo and now building the Tecton feature store.

White Papers

Omdia: Up Close with Tecton

Omdia research report on Tecton from a hands-on product evaluation of the Tecton feature store.


Python Podcast
Scale Your Data Science Teams with MLOps Principles

In this podcast, Mike Del Balso, Co-Founder and CEO of Tecton, explains how feature stores help data scientists build better features and get them to production instantly

Get your models to production

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