[mslot]

The access method approach followed in Citus is indeed lower level and more generic, which means it can be used on both time series data and other types of data.

For time series data, you can use built-in partitioning in PostgreSQL. It's not as easy to use as TimescaleDB, but pg_partman goes a long way, see: https://docs.citusdata.com/en/latest/use_cases/timeseries.ht...

You can then use the columnar access method to compress old partitions (see the end of the doc), and use distributed tables to shard and parallelize queries and DML.