[jnordwick]

Timeseries is the data model and that is, for the upper end, synonymous with column-oriented. In my top comment, I mean timeseries/column-oriented (there are other series besiudes time, byt they fit the same data model).

The top TS databases are more than just storage too. You need a query language that can exploit the ordering column-oriented gives you that the row-oriented relational doesn't.

On the lower end (eg, Timescale db) trying to fit a timeseries model on a row-oriented architecture which is a poor fit.

[manigandham]

Time-series is definitely not synonymous column-oriented. The data model is separate from the storage layer which is separate from the use-case.

You're talking about relational databases (which is the formal type) designed for large-scale analytics using column-oriented storage and processing and supporting a time-series use-case.

Storage and querying just for time-series specifically is more about product features than the underlying type. For example, here's Pinterest doing the same on HBase: https://medium.com/pinterest-engineering/pinalyticsdb-a-time...