While TimescaleDB provides great read/write/delete (thanks to partitioning) performance, it still lacked any data compression, so DB with metrics could become quite large hindering performance as well as requiring larger storage.

Finally, the version 1.5 of TimescaleDB introduced compression codecs that can be used to dramatically decrease bytes per value required.