datatable is a relatively fresh high performance DataFrame/data.table alternative for Python. The datatable documentation states:
It focuses on: big data support, high performance, both in-memory
and out-of-memory datasets, and multi-threaded algorithms.
Still, haven't found operations related to caching or keeping a part of the data out-of-memory. In what sense does it support out-of-memory datasets?
