The Open-Source Virtual Feature Store
Featureform allows data scientists to define, manage, and serve machine learning features across your organization. The days of untitled_128.ipynb are over. Transformations, features, and training sets can be pushed from notebooks to a centralized feature repository with metadata like name, variant, lineage, and owner.
Transform your Existing Infrastructure into a Feature Store
Featureform allows teams to pick the right data infrastructure to solve their processing problems, while providing a feature store abstraction above it. Featureform orchestrates and manages transformations and offloads the computations to the organization's existing data infrastructure. Featureform is a workflow, not more data infrastructure.
A framework to define, manage, and share features.
Featureform ensures that transformations, features, labels, and training sets are defined in a standardized form, so they can easily be shared, re-used, and understood across the team.
Read more about Feature Stores
Our articles explain everything from the feature store landscape to the architecture and design patterns of a virtual feature store.
A unified feature store abstraction for your heterogenous infrastructure
Featureform's virtual feature store is compatible with a wide range of
data infrastructure. Mix and match providers like Snowflake, Redis, Spark, and Cassandra.
Ready to get started?
See what a virtual feature store means for your organization.