As someone that is familiar with what a Lake House Arch is, I remain confused with what Delta Lake is mostly bc I find it difficult to differentiate what is Dat

As someone that is familiar with what a Lake House Arch is, I remain confused with what Delta Lake is mostly bc I find it difficult to differentiate what is Databricks Delta Lake marketing and the virtues of the Delta Lake Arch (Delta files, etc). It's frustrating, and I've given up... I am however keeping up to date with Apache Iceberg bc it's much easier to follow and it seems to have a lot of advantages over the Delta Lake external table format (delta files?). Iceberg seems to be better especially in handling schema evolution and drift. They both seem to use parquet and avro below the surface and generally have the same design, but am I missing anything by dismissing and ignoring Delta Lake?