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.

Techstrong Research polled our community of DevOps, cloud-native, cybersecurity and digital transformation readers and viewers to take their pulse on using time series database technologies. Respondents’ use of time series technologies was significant, with 48% indicating that time series data technology is actively used in their data platform strategy.

Techstrong Research brings you this PulseMeter report sponsored by InfluxData, supported by our independent research data. Download the full report to learn more.

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