Organizations now generate extensive amounts of time-stamped data through IoT devices as well as financial markets and application logs in the present data-driven world. Time series databases function as dedicated solutions that optimize the storage, analysis, and processing of temporal data. This article examines the essential principles of time series databases while examining their distinctive traits and evaluating their performance against standard database management systems.
What Is Time Series Data?
Time series data represents tracked and monitored data points that get downscaled and aggregated throughout a chronological period. A time series contains data points where each entry has its corresponding timestamp, which determines the sequence of events. Such data exists extensively throughout our digital world and manifests as: