Top 10 Leading Machine Learning Feature Stores

Feature store applications are fairly new product technology domain that allows for the development, maintaining, and monitoring of data features used by machine learning algorithms in artificial intelligence systems around us. Basically, a feature store is a data management layer used for saving and repurposing data features specifically designed for machine learning use cases. It is a measurable data property of an entity or representation of a object (e.g. The cores system capabilities for a feature store comprises of the abilities to support feature engineering (feature creation), a storage layer for both online and offline feature storage, a serving layer (via API, SDK), with a registry that features can be discovered with historical lineage that is trackable and lastly monitoring (and alerting) of features being used in understanding data drift with anomalies detection. The benefits are ten fold in having a feature store.