Analyzing data in real time is an enormous challenge due to the sheer volume of data that today’s applications, systems, and devices create. A single device can emit data multiple times per second, up to every nanosecond, resulting in a relentless stream of time-stamped data.
As the world becomes more instrumented, time series databases are accelerating the pace at which organizations derive value from these devices and the data they produce. A time series data platform like InfluxDB enables enterprises to make sense of this data and effectively use it to power advanced analytics on large fleets of devices and applications in real-time.
In-memory columnar database
InfluxData’s new database engine, InfluxDB IOx, raises the bar for advanced analytics across time series data. Rebuilt as a columnar database, InfluxDB IOx delivers high-volume ingestion for data with unbounded cardinality. Optimized for the full range of time series data, InfluxDB IOx lowers both operational complexity and costs, by reducing the time needed to separate relevant signals from the noise created by these huge volumes of data.
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InfoWorld
