Essentially, yes. Different DB’s, federated queries (aka delta sharing, zero copy), definition/semantic layer tools, data engineering/pipelines, model training and notebooks, governance, data lineage, row/column/whatever access control.

It’s basically a luxury minivan. It’s may not be the fastest or prettiest or cheapest, but it’s a safe way for a large family of “data and AI people” to traverse a large organisation.

More seriously, I like to call it an “analytics workbench” in a professional setting.