InfluxData, creator of the time series database InfluxDB, today announced significant growth in 2020 across its cloud business, open source user base, and major new customers. Demand for the time series platform continued to climb across industry sectors, especially for IoT and data streaming use cases. As time series continued to be the fastest-growing database category over the last 24 months, InfluxDB broadened its category leadership and climbed five spots in the ranking of the most popular DBMS, according to industry authority DB-Engines.
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The amount of data being produced each year is expected to grow nearly 3x from 2020 to 2025 – generated primarily from IoT sensors, applications, networks, streaming data and video – most of which is time-stamped data (IDC, 2020). As the volumes of data grow, so do enterprise demands to get more value out of it, whether for historical or predictive analysis or real-time decisions. The InfluxDB time series platform approach, with InfluxDB open source at the edge and InfluxDB Cloud at the core working together, is designed to deliver high performance, scalability, and agility in a way that uses resources efficiently and is not cost-prohibitive.
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Cloud services dominated InfluxData’s business expansion in 2020. The company saw exponential growth in users of InfluxDB Cloud, with a 13x increase in the number of paying cloud customers and a nearly 5x increase in the number of developers using the cloud software’s free tier. New users were relatively evenly distributed across the U.S. and Europe, with 55 percent and 45 percent, respectively. This came on the heel of the company’s launch of InfluxDB Cloud, the first serverless time series platform.
The driving force behind the company’s success remains the popularity of open source InfluxDB. InfluxData dramatically expanded its reach with the open source developer community, ending the year with over 450,000 daily active instances of InfluxDB running globally.
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