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I might be falling for something related to Cunningham's Law here but.. I believe the whole article is an effort of trying to answer this question.

Quoting some from the article: "Data warehouses are used primarily by business analysts for interactive querying and for generating historical reports/dashboards on the business. Feature stores are used by both data scientists and by the online/batch applications, and they are fed data by feature pipelines, typically written in Python or Scala/Java. Also, Data warehouses mostly stores data in relational tables, whereas a Feature Store stores it as numerical and categorical features and outputs tensors and/or vectors for training or serving.