[Merad]

I think many people underestimate the capabilities of SQL databases by a couple orders of magnitude. I once worked on a feature that integrated tightly with a third party service. Their api didn't have any support for aggregate queries, and my company was smaller without real BI or data team, so I ended up writing a tool to dump our account data into a local Postgres db in order to do a some data analysis. By the time I left the company that db was approaching 50 GB, the table holding the primary data had about 40 million rows, and a couple of the supporting tables were over 100 million rows. This was all on a 2018-era Dell dev laptop - a fairly powerful machine (6 core/12 thread, 32 GB RAM, SSD), but certainly no server. It took about 90 seconds to update the materialized views that summarized the data I looked at most frequently. More than acceptable for my use case, and there was a lot of room for improvement in that schema (it was pretty much a straight dump of the api data).