Comment by PeterCorless

I'd argue that since most observability use cases are "write once, read hardly ever" they aren't really transactional (OLTP-oriented). You're doing inserts at a high rate, quick scans in real time, and a few exploratory reads when you need. Generally you're not doing upserts, overwriting existing data; you're doing time-series, where each "moment" has to be captured atomically.

Given that, it makes sense that if you have an OLAP data, like Apache Pinot, you can do the same and better than OLTP. You can do faster aggregations. Quicker large range or full table scans.

(Disclosure: I work at StarTree, which is powered by Apache Pinot)