infrastructure//storage//time-series database

A database designed for data indexed by time: measurements with a timestamp, tags or labels that describe the source, and the fields that carry values. InfluxDB and TimescaleDB are the usual examples; the model appears everywhere from server observability to IIoT.

A database designed for data indexed by time: measurements with a timestamp, tags or labels that describe the source, and the fields that carry values. InfluxDB and TimescaleDB are the usual examples; the model appears everywhere from server observability to IIoT.

InfluxDB is built for time series from the ground up. TimescaleDB extends PostgreSQL, keeping the whole relational and SQL ecosystem while storing series efficiently. That second design answers a real need: "give me the vibration of every pump from manufacturer X that was producing product Y when a fault occurred" is a time-series question joined with relational context (data contextualization).

In plants these databases coexist with the older industrial historian rather than replacing it: historian, data lake or cloud, TSDB and SQL each keep a role.