I think of influx performance as similar to pandas. It's fast enough for many things it was designed for, but it's pretty easy to hit a performance cliff. In pa

I think of influx performance as similar to pandas. It's fast enough for many things it was designed for, but it's pretty easy to hit a performance cliff. In particular, "select * from table" type queries are very slow, so don't expect to be pulling out large blocks of data to do analysis somewhere else. However, influx, being schemaless, can be outstanding for rapidly prototyping ephemeral metrics, as adding a new measurement is zero-cost (just start writing it). It also plays great with grafana for building dashboards. Finally, I much prefer the ergonomics enhancements of the influx query language (v1, the v2 "flux" language looks terrible to me personally), particularly how duration strings are a first-class datatype ("group by time(1h)"). Interested to hear more about clickhouse performance, haven't had a chance to use it for anything where performance would matter significantly, although am aware it can be very fast.