[osigurdson]

TimeScale was certainly the first choice as we were already using Postgres. However, we could not get it to perform well as times are simulated / non monotonic. We also ultimately need to be able to manage low trillions of points in the long run. InfluxDB was also evaluated but faced a number of issues as well (though I am certain both it and TimeScale would work fine for some use cases).

I think perhaps because ClickHouse is a little more general purpose, it was easier to map our use case to it. Also, one thing I appreciate about ClickHouse is it doesn't feel like a black box - once you understand the data model it is very easy to reason about what will work and what will not.

[out_of_protocol]

Did you look at something Parquet-based? Different approach, could work on very large time-series-like datasets. E.g. snowflake, Apache Iceberg