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Time Series DBMS

A Time Series DBMS is a database management system that is optimized for handling time series data: each entry is associated with a timestamp.

For example, time series data may be produced by sensors, smart meters or RFIDs in the so-called Internet of Things, or may depict the stock tickers of a high frequency stock trading system.

Time Series DBMS are designed to efficiently collect, store and query various time series with high transaction volumes. Although time series data can be managed with other categories of DBMS (from key-value stores to relational systems), the specific challenges often require specialized systems.
E.g. a query like 'SELECT SENSOR1_CPU_FREQUENCY / SENSOR2_HEAT' joins two time series based on the overlapping areas of time for each and outputs a single composite time series.

Most popular examples

Find more systems in our Time Series DBMS ranking.



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