Centralized repository for storing, managing, and serving machine learning features for consistent use across training and production. Like a shared ingredient pantry that ensures everyone uses the same quality ingredients.
A feature store ensures that the 'customer lifetime value' calculation used during model training is identical to what's used when making predictions.
All three managed offerings provide a centralized place to define, store, and serve ML features consistently for training and online inference. AWS and Azure include feature store capabilities within their ML platforms; GCP offers it as part of Vertex AI. OCI does not have a widely recognized, first-party managed 'Feature Store' service; teams typically build one using OCI data services and an open-source feature store.