It is a feature store, as the name suggests, corresponds to an organized set of features for machine learning models.
ETL: central framework to create data pipelines. Spark-based Extract, Transform and Load modules ready to use.
Declarative Feature Engineering: care about what you want to compute and not how to code it.
Feature Store Modeling: the library easily provides everything you need to process and load data to your Feature Store.