Tag: quasardb

QuasarDB Successfully Achieves SOC 2 Compliance 

We are pleased to announce that we have recently completed our System and Organization Controls (SOC) 2 Type I Audit. As a leading high-performance time-series database designed for real-time data processing and analytics, this certification reinforces our position as a trusted partner in the tech industry.  Industry-Standard Accreditation   The SOC 2 audit is one the […]

QuasarDB “Seneca” 3.14.1 Released

We are thrilled to announce the immediate availability of QuasarDB 3.14.1, an update from 3.14.0. This update brings major new features while being 100% compatible with 3.14.0. Features such as streaming aggregation (named aggregated tables) and automatic data expiration are now available to all users. Streaming aggregations enable you to aggregate the data as it […]

QuasarDB “Seneca” 3.14.0 Released

We are thrilled to announce the immediate availability of QuasarDB 3.14.0, an update from 3.13.7. Multiple performance and fixes have been added in this release, as well as support for multiple readers from a single S3 bucket, improved S3 backup speed, and, last but not least, initial support for windowing functions with the SQL OVER […]

Five Benefits of Using a Time-series Edge Database

Edge computing is an emerging technology that is transforming the way we process, store, and manage data. With the growth of the Internet of Things (IoT), autonomous systems, and other connected devices, there is an increasing demand for faster, more efficient data processing and storage capabilities. Edge databases offer a solution that brings data processing […]

Predictive Maintenance for Turbines Using Waveform Data

A turbine is a rotary mechanical device that extracts energy from a fluid flow and converts it into useful work. It is widely applied in various industries such as power generation, aerospace, marine, oil and gas, and manufacturing. Predictive maintenance on turbines can provide significant improvement in reliability, efficiency, and safety, while reducing maintenance costs […]