For lots of databases, most of their time is spent locking and copying data around, so depending on your workload you might getsignificant speedups in Pandas/Numpy if it's just you doing manipulations, and there are multicore just-in-time compilers for lots of Pandas/Numpy operations (like Numba/Dask/etc).
If you have lots of weird merging criteria and want the flexibility of SQL I'd say use a modern Postgresql with multicore selects on that 4TB box.