handling time series data

From: Keith Brown <keith6014(at)gmail(dot)com>
To: pgsql-general(at)postgresql(dot)org
Subject: handling time series data
Date: 2016-02-02 23:04:14
Message-ID: CAPPhDfiv6qZOf3dH2vDvbWbodb7bdOENfp5OcnZMhmfUuPyx=A@mail.gmail.com
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By reading this,
http://www.postgresql.org/message-id/7e41ba8f0908191624g4501b5f7mcbe29ad2c8139acc@mail.gmail.com,
I was wondering if anything has changed on the postgresql front.

I have a large timeseries (2TB worth of uncompressed data). I will be
doing some queries which change at times. Should I stick with my
current approach which is a series of csv files or would it be better
to load it into Postgresql and use its TOAST features (which will give
me some sort of compression)

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