The demands of today’s world seep into every facet of life; in terms of the enterprise, these demands dictate how modern applications should be developed, run, and maintained. Though the ideal app is ...

Temporal database systems are designed to capture and manage data that varies over time, thereby accommodating historical and time‐sensitive information. These systems integrate temporal dimensions ...

Temporal data mining has emerged as an essential tool to extract meaningful patterns from complex clinical data. By converting raw time-stamped measurements into higher-order symbolic abstractions, ...

DataStax and Temporal are on a mission to help developers build durable, resilient apps that never fail, no matter how fast they scale or how demanding the business. But building reliable apps can be ...

Timescale is looking to further advance its namesake open-source database platform with new AI capabilities announced today. Timescale was founded in 2017 as a time series database (TSDB) technology ...

This is something we've been discussing at work, and I wonder if there's any formal theory or other approaches we might be missing... It is quite common to have a concept of "state" in a database ...