The easiest way to think about an open data architecture is that it’s the opposite of a vendor-locked-in, closed-system environment. A system designed with open data architectural principles supports ...

As for time series data, it is not a new use case. But, with a few exceptions, databases that are optimized for this form of data have been exceptions to the rule.

At the most basic level, time series data is any data that is organized and sequenced by timestamps.The sources of this data vary; in the physical world, devices such as temperature gauges ...

The latest addition to the AWS database portfolio focuses on time series data – a segment where fit-for-purpose databases are emerging because use cases ranging from IoT to e-commerce are ...

The TSDB has grown in popularity in recent years, and last year it was the fastest-growing type of database in the enterprise, largely because of the growing number of use cases for it.After all ...

Time series databases are purpose built for handling time series data such as time stamped metrics or measurements. These databases can measure changes in data over a progression of time through ...

Anais Dotis-Georgiou, product manager, InfluxData, joined DBTA's webinar, Why a Time Series Database is the Best Solution for Building Real-Time, Intelligent Systems and Applications, to discuss the ...

The open-source data platform purpose-built for time-series data, ... The release of TDengine 3.0—which incorporates Kubernetes and container support in its fully distributed architecture—further ...

As data pours in from every corner of the digital world, the race to process, scale and unlock real-time insights has never been fiercer. Recognizing this relentless demand, Amazon Web Services Inc. a ...

Time series database startup InfluxData Inc. said today it has secured $81 million in funding.. The money comes from a $51 million Series E funding round led by new investors Princeville Capital ...