Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with ...

Time series databases provide optimum support for working with time-dependent data. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data ...

When you understand the foundation of how time series data works, you see how real-time analytics power the world around us.

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data.

Time series data is already ubiquitous, as it lies in every part of today’s digital businesses, but it has yet to reach its full potential within most organizations.

With the data storage and stream processing now so cost-effective (relatively speaking, of course) that anybody can do it – not just national security agencies or hedge funds and brokerages with big ...

The shifting waves of enterprise computing always seem to uncover exciting new possibilities. One of those is time series data, collected over several repeating points in time. InfluxData Inc ...

When database administrators swap war stories, they are likely to relate similar tales about the woes of managing time-series data that may include clogs, jams, and general inefficiency. Why the ...

Database startup InfluxData Inc. is adding new functions to its platform today that enable users to collect, process and store time-series data in the InfluxDB Cloud more rapidly. InfluxDB Native ...

AWS threw its hat into the nascent ring for time-series databases yesterday with the launch of AWS TimeStream, a managed time-series database that AWS says can handle trillions of events per day. Time ...