An introduction to time series databases

Time series databases (TSDBs) have been growing in popularity, outpacing all other database models over the past two years. They store data as pairs of time(s) and value(s), making it easy to analyze sequences of points recorded in order over time. TSDBs can handle concurrent series, measuring many different variables or metrics in parallel. IoT technology is a major driver for the growth of TSDBs, as they are well-suited for dealing with the large amounts of data produced by sensors and other connected devices. The benefits of using a TSDB include more accurate and meaningful time series measurement, resource-efficient data storage, and lightning-fast data queries. Common use cases for TSDBs include storing and accessing IoT data, monitoring web services, applications, and infrastructure, understanding financial trends, processing self-driving vehicle data, and sales forecasting. As more capable solutions become available and managed services help users focus on the problem space, the use of time series databases is expected to continue expanding.