Alex Woodie reports on a new entrant in the time-series database market:
Time-series databases have emerged as a best-in-class approach for storing and analyzing huge amounts of data generated by users and IoT devices. While relational and NoSQL databases are sometimes used for time-stamped and time-series data – such as clickstream data from Web and mobile devices, log data from IT gear, and data generated by industrial machinery — today’s massive data volumes from the IoT have outstripped the capability of those databases to keep up.
As the high-end time-series use cases piled up, AWS decided it was time to take action and make its entry into the still-specialized field, much as it did with last year’s launch of Neptune, a graph database, which is another specialized database field that’s emerging.
And here I was, just learning a bit about InfluxDB from Tracy Boggiano’s work.