Time series database
Database system optimized for storing time series data
A time series database (TSDB) is a software system optimized for handling time series data—a sequence of data points indexed in chronological order. In various scientific and financial disciplines, these chronological sequences may be referred to as profiles, curves, traces, or trends.
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Time series database
Database system optimized for storing time series data
A time series database (TSDB) is a software system optimized for handling time series data—a sequence of data points indexed in chronological order. In various scientific and financial disciplines, these chronological sequences may be referred to as profiles, curves, traces, or trends.
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A time series database (TSDB) is a software system optimized for handling time series data—a sequence of data points indexed in chronological order. In various scientific and financial disciplines, these chronological sequences may be referred to as profiles, curves, traces, or trends. Early iterations of these databases were primarily associated with industrial applications, where they functioned as data historians to efficiently record measurements from physical sensors; however, modern implementations now span a much wider range of uses. Due to the high ingestion rates and sequential nature of this data, TSDB repositories heavily utilize specialized compression algorithms to manage storage efficiently. While time-series data can be stored across various database types, systems designed around a temporal primary index differ structurally from relational databases, which optimize for discrete relationships using referential models.
Texto: Wikipedia en inglés, CC BY-SA 4.0. ·
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