With the unprecedented growth in time-based data generated by applications, systems, networks, security, sensors or virtually any piece of software or device, putting these vast amounts of data to use quickly overwhelms the capabilities of most general-purpose SQL and NoSQL database technologies. Time series databases are particularly well suited to handling large volumes of linear time-based data in use cases such as sensor data acquisition, tracking and analyzing data across multiple periods, and analyzing systems behaviors and situations requiring near-real-time data insertion and retrieval.