I'd argue the bigger value is keeping the data in one storage place and bringing the compute to it. Works especially well for Big Corp use cases where entire divisions of the corp go their own way. Throw in M&A activity and it is a good hedge for the unknown (I.e you might be an Databricks and Azure shop and you just bought a Snowflake & AWS company). Keep the data in an open table format, and let everyone query using their preferred engine to their hearts desire.
There's two problems being discussed in this article and thread:
1) Combining OLTP and OLAP databases into one system
2) Using an open data format to be able to read/write from many system (OLTP/PostGres, analytics engine/Spark)
> I'd argue the bigger value is keeping the data in one storage place and bringing the compute to it.
Yes, I agree with you. This observation is the idea behind #2, and why Iceberg has so much momentum now.