InfluxData Named Leader in Time Series Database Category

SAN FRANCISCO -- Nov. 7, 2017 -- InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced its continued growth as the leader among Time Series Database management systems, according to DB-Engines' results published this month.

According to DB-Engines, InfluxDB maintained its overwhelming lead, a ranking it has held for a full year, with its popularity increasing 67 percent during that time. InfluxDB is InfluxData's Time Series Database used as a data store for any use case involving large amounts of timestamped data -- including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics. The DB-Engines results included rankings of the leading vendors in the Time Series Database category, with InfluxDB's user popularity ranking nearly three times more than the nearest competitor.

DB-Engines is an initiative to collect and present information on database management systems (DBMS). DB-Engines also rated the overall Time Series Database Management System category, which continues to grow in popularity with a 21 percent quarter-over-quarter increase.

"As DB-Engines shows, Time Series is by far the fastest growing segment in the database market," said Mark Herring, InfluxData CMO. "Time Series workloads are increasing exponentially, driven by the proliferation of physical sensors, virtual sensors, virtualization, and microservices. This age of instrumentation necessitates a new architecture, and Time Series Databases are being increasingly used to handle the sheer volumes of data generated to fulfill the need for real-time results that business requires. InfluxData is uniquely positioned as being purpose-built, and proving to be faster and more efficient in monitoring and reporting on time series workloads."

Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for...

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