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The Open-Source Feature Store

Define, Manage, and Deploy your Model Features

Facilitate Deployment

Once a feature is ready to be deployed, Featureform will orchestrate your data infrastructure to make it ready in production. Using the Featureform API, you won’t have to worry about the idiosyncrasies of your heterogeneous infrastructure (beyond their transformation language).

Enhance Collaboration

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.

Organize Experimentation

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.

Increase Reliability

Featureform will monitor and notify you of infrastructure problems and data drift. Furthermore, Featureform enforces that all features, labels, and training sets are immutable. This allows them to safely be re-used among data scientists without worrying about logic changing. Finally, Featureform’s orchestrator will handle retry logic and attempt to resolve other common distributed system problems automatically.

Explore Our Documentation

Find more details on what the FeatureForm workflow can do for you, as well as what sets it apart from rival feature store platforms.

Join Our Community on Slack

Network with people in the MLOps community and get live support from our team.

Continue Learning

Our Resource Hub has the educational tools to equip you with the most recent innovations in MLOps.

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See what a virtual feature store means for your organization.