I’m always amazed at how people improve data storing technique, e.g., Influxdb, a time-series NoSQL database, that not only responds to a query very fast (even aggregation in a long time range) but also draws a substantially less amount of storage space.
My smart home project, which collects almost 200 measurement points every 10 second, has only 3.5 GB Influxdb storage for almost 4 months running. It is nearly 2.6 times smaller than the compressed version of the raw data archive (with gzip).
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