Market Overview

DB-Engines' Latest Industry Results Reveal InfluxData's Continued Leadership Position in Rapidly Growing Time Series Database Category


InfluxData Maintains Industry Lead by Increasing Popularity More than
44 Percent – More than 3 Times More than Closest Competitor

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 overwhelming leader among Time
Series Database management systems
, according to DB-Engines'
latest results
published this month.

According to DB-Engines' July results, InfluxDB continues its
unquestioned lead, outpacing the competition with its popularity
increasing more than 44 percent over the past 12 months and more than
160 percent over the past two years. 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 more than
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 ranked the overall Time
Series Database Management System category
, which continues to grow
in popularity with a 33 percent year-over-year increase, and a more than
100 percent two-year increase. Overall, InfluxDB continues to show
strong popularity among all databases ranked, maintaining its ranking of
number 36.

"Today's IoT and DevOps metric workloads are unique and are best served
by a time series database for collection and analysis, instead of a
traditional database," said Mark Herring, InfluxData CMO. "Growth in the
time series database segment is proof that users are turning to these
databases to collect and store data that shows metrics and events for
IoT sensors, DevOps monitoring, and real-time analytics. Purpose-built
time series databases are more efficient and work well for today's
workloads – other databases require a lot of overhead to get them to
handle this data."

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 420 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.

About InfluxData

the creator 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's more than 420 customers include CiscoeBay,
and Siemens.
Twitter: @influxdb.

InfluxData, InfluxCloud and InfluxDB are all trademarked by InfluxData.
All other trademarks are the property of their respective owners.

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