Is that really true? Do you have any reference for that, I’m curious how different it is. FWIW I use InfluxDB and haven’t really thought it was a huge resource hog.
InfluxDB may require big amounts of RAM when working with high cardinality data. It works OK with up to a million of time series. Then it starts eating RAM as crazy [1]. How many time series does your InfluxDB setup contain?
[1] https://medium.com/@valyala/insert-benchmarks-with-inch-infl... .