Okay - so the partitioning gives better per machine performance by allowing you to parallelise certain things and spread out on disk. I thought this was similar to Cassandra's ring based partitioning that allows data to be distributed around many machines. Thanks for clarifying.
That will eventually be coming in some form. In the OP link, there was a mention of foreign tables participating in partitioning:
> While foreign tables can be partitions in v10, they are currently subject to an unfortunate limitation: tuple inserts that route to a foreign table will fail, since this feature has not been implemented yet. Etsuro Fujita (NTT) is working to address this limitation by revising code originally written by Amit Langote.
So there is work on getting this to scale on multiple machines, rather than just single machine. We're just not there yet.
