Feature stores are more for fast read and moderate write/update for ML training and inference flows. Good organization and fast query of relatively clean data.

Data warehouse is more for relatively unstructured or blobby data with moderate read access and capacity for massive files.

OLAP is mostly for feeding streaming and event-driven flows, including but not limited to ML.