Hi, yes, both streaming tables and materialized views in a DLT pipeline (now called Lakeflow Declarative Pipelines) are Delta tables under the hood. There isn't a separate "plain Delta table" object type inside a pipeline, streaming tables and materialized views are the two ways a pipeline writes Delta tables, they just differ in how the data gets refreshed.
If you specifically want a table that behaves like a plain batch table with no streaming semantics, a materialized view is the closest equivalent since it's a full batch recompute each time rather than a continuous append.