So-called ‘real-time’ databases are popular these days. Here’s some quotes from the internet:

Firebase: “The Firebase Realtime Database is a cloud-hosted database. Data is stored as JSON and synchronized in realtime to every connected client.”

Hazelcast: “A real-time database is defined as a data store that collects, processes, and/or enriches incoming data in real time, immediately after the data is created.”

InfluxDB: “Today, a real-time database can mean different things. This glossary page considers two categories of real-time databases.

There is a tendency to conflate the terms embedded database and embedded system. That is a mistake.

There’s been an explosion of database systems since the late 90s. Whereas there were relatively few choices back in the day, now there are hundreds of choices of database systems that span different architectures, APIs, models, and more. This article will compare and contrast two database system architectures, embedded and client/server.

Seattle, Washington. McObject introduced the ratified eXtremeDB 8.4 delivering an abundance of enhancements to performance, security, and developer productivity. eXtremeDB 8.4 now carries SSL encryption and driver authentication capabilities in its ODBC driver ensuring secure connection between applications and database. To broaden possibilities in scalable environments, designers are able to leverage the new GO language API to seamlessly integrate eXtremeDB into their GO-based applications.

McObject® announced eXtremeDB®/rt 1.2, the latest release of its seminal embedded database management system for hard real-time systems.

This paper will discuss the objectives of deterministic, predictable database management in the context of mission-critical hard real-time application design.

Speed is a selling point in everything, from cars to meal delivery to data management. The term real-time has been used by most in the database system industry to mean fast. For example, real-time processing enables more-or-less immediate results, versus the previous century’s typical overnight batch processing. However, a difference must be noted between real-time processing and real-time systems.