Tecton announced that it will become a core contributor to Feast and allocate
engineering and financial resources to the project to build advanced
capabilities. Feast is the leading open source feature store for machine
learning (ML) that bridges data and models and allows ML teams to deploy
features to production quickly and reliably.
Feature stores are emerging as a critical component of the infrastructure stack
for operational ML. Tecton will continue to advance its production-ready
enterprise feature store that is delivered as a fully-managed cloud
service and is trusted by some of the world's biggest brands. Tecton's
contributions to Feast will offer users the freedom to choose between open
source software and commercial software.
As part of today's announcement, Tecton announced that the creator of Feast,
Willem Pienaar, will be joining the company. He will remain
fully-committed to Feast and an official maintainer of the project; Feast
will continue to be an independent open source project managed by the LF AI
& Data Foundation, part of the Linux Foundation.
"Inspired by the Michelangelo ML platform, we created Feast to accelerate
Gojek's deployment of ML-powered applications," said Willem Pienaar, creator of
Feast and architect at Tecton. "We open sourced the project in response to
broad community interest and are delighted to see strong user adoption.
Collaborating with Tecton will allow us to accelerate our roadmap and build the
best open source feature store for the community."
Feast was developed jointly by Gojek and Google Cloud. Since its initial
release in 2019, Feast has grown rapidly, with multiple companies, including
Microsoft, Agoda, Farfetch, Postmates and Zulily adopting and/or
contributing to the project. The project has more than 1,100 GitHub stars.
"Operationalizing data is the hardest part of getting ML to production," said
Matt Ziegler, lead software engineer at online retailer Zulily, a contributor
to Feast. "The Feast feature store allows our team to bring DevOps-like
practices to our feature lifecycle. Data scientists now have a single source of
truth for data and can quickly serve feature values for training and online
inference, enabling us to further personalize shopping experiences. It's
great to see Tecton supporting Feast, adding cross-industry expertise to the
project and further building an interface between data and models
in production."
Tecton and Feast will build a simple migration path that will give users the
freedom to transition between Feast open source software and the Tecton feature
store. Tecton and Feast will have fully compatible serving APIs to make
the migration transparent to models and applications.
"We're excited to be core contributors to the Feast open source project," said
Mike Del Balso, co-founder and CEO of Tecton. "Feature stores allow ML teams to
build and deploy new features to production within hours instead of
months. Users will benefit from the freedom to choose between open source
software and Tecton with the flexibility to migrate transparently between the
two."
Tecton's enterprise feature store serves as a central hub for the data
processes that power operational ML models. It allows data scientists and ML
teams to build features and deploy them to production in a fraction of the
time. Tecton is delivered as a fully-managed cloud service with guaranteed
service levels and enterprise support.