[1] In some fields, time series may be called profiles, curves, traces or trends.
[2] Several early time series databases are associated with industrial applications which could efficiently store measured values from sensory equipment (also referred to as data historians), but now are used in support of a much wider range of applications.
[5] Time series datasets are relatively large and uniform compared to other datasets―usually being composed of a timestamp and associated data.
[6] For instance, due to the uniformity of time series data, specialized compression algorithms can provide improvements over regular compression algorithms designed to work on less uniform data.
[6] The following database systems have functionality optimized for handling time series data.