I have been using the ELK stack as a time series database for a long time, I know it isn't built for it but there's so much documentation and resources online that makes it a very "easy" choice, it's very easy to scale any part of it, use the elastic as a nosql database, have kibana to visualize and easily query. Curator to move old data to cold storage / shrink. It's been a no brainer.
Have a look a TimescaleDB.
Wouldn't that be solved with tags? Most time series databases support tagging values.
Amazon just launched their Time Series DB. It is probably worth a look.
Clickhouse - https://clickhouse.yandex
Great, thanks all!
https://spotify.github.io/heroic/ is a multi dimensional timeseries database with a rich query language.