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 provide a managed way to define, store, and serve ML features consistently for training and online inference. AWS and Azure offer first-class feature store products. Google Cloud historically offered Vertex AI Feature Store and now emphasizes feature management using BigQuery (offline) with serving patterns for online use. OCI does not have a widely recognized, dedicated standalone 'Feature Store' service; teams typically implement feature storage/serving using OCI data services and MLOps tooling.