Time-Series Databases
A time-series database stores measurements together with the time each measurement occurred. It helps you ingest, retain, and query changing values such as system metrics, sensor readings, prices, and events over time.
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Intro
Time-Series Databases
A time-series database, often called a TSDB, is built for data that changes over time. Each observation has a timestamp and one or more values. A CPU sample, a temperature reading, and a request counter are all examples.
Time is not just another column in this workload. You usually write new observations continuously, ask for a bounded interval, group observations into time windows, and keep recent detail longer than old detail. A TSDB organizes storage and query paths around those habits.
What you store
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