InfluxData Affirms Leadership in Time Series Database Category
InfluxData Continues Leadership Position in Fastest Growing Time Series Database Category According to DB-Engines' Latest Results -- InfluxData Maintains Leadership by Increasing Popularity 57 Percent -- Nearly 3 Times More than Closest Competitor
SAN FRANCISCO, Jan. 9, 2018 -- 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 position as the leader among Time Series Database management systems, according to DB-Engines' latest results published this month.
According to DB-Engines' January results, InfluxDB continues its overwhelming lead, outpacing the competition with its popularity increasing 57 percent over the past 12 months, and 14 percent quarter over quarter. 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 59 percent year-over-year increase, stronger than the previous year's growth rate of 42 percent.
"As DB-Engines shows, InfluxData continues its strong leadership position as the most popular solution in the time series database market," said Mark Herring, InfluxData CMO. "This continued growth in the rankings offers proof that users are turning to time series databases to collect and store data that shows metrics and events for IoT sensors, DevOps monitoring, and real time analytics. Time series databases are more efficient and work well for time series workloads -- other databases require significant overhead to handle time series data. InfluxData is uniquely positioned as being purpose-built, and proving to be faster and more flexible and 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 analyzing today's complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData's unique features enable customers to quickly build:
* Monitoring, alerting and notification applications supporting their DevOps initiatives
* IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
* Real-time analytics applications that are focused on streaming data and anomaly detection
InfluxData has rapidly built its developer and customer base across industries -- including manufacturing, financial services, energy, and telecommunications -- by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure -- from applications to microservices, and from systems to sensors. More than 350 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.
InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData customers include Autodesk, Cisco, eBay, and Coupa Software. Visit https://www.influxdata.com/. Twitter: @influxdb.