[proddata]

> is an OLAP database a common go-to for longer-timescale analytics (as in [1])?

I would not consider Clickhouse or CrateDB "classic" OLAP DBs. I can speak for CrateDB (I work there), that it definitely would be able to handle 600GB and query across it in an ad-hoc manner.

We have users ingesting Terabytes of events per day and run aggregations across 100 Terabyte.

[nicoburns]

What kind of hardware requirements would be needed to store and query this much data?

[proddata]

- Depends - Just inserting, indexing, storing and simple querying can be done with little memory (i.e. 1:500 memory-disk-ratio 0.5GB RAM per 1TB disk). Typical production clusters with high query load are in the 1:150 range i.e. 64GB RAM for 10TB disk).

Otherwise typical general purpose hardware (Standard SSDs, 1:4 vCPU:memory ratios, ...)