3 ms·
What I often miss with these kinds of databases is compression capabilities. I currently use my own delta-of-delta encoding for time series data (stored in post
by dx034 9y ago
What I often miss with these kinds of databases is compression capabilities. I currently use my own delta-of-delta encoding for time series data (stored in postgres) as that gave me much better compression than any of the time series databases I tested.
It's not that storage isn't available, it's easy to store terrabytes of data. But really fast storage is still expensive and rare. Being able to compress time series data to 3-5% of the raw value allows keeping most in memory, speeding up reading writing and analysis.
InfluxDB is quite good at that but unfortunately, they struggle storing many small datasets.