Today’s applications—including enterprise applica­tions—need to be always on and always available and often must serve a global base of users who expect almost instantaneous response times regardless ...

Relational databases, once the epitome of data management technology, are becoming increasingly archaic as single servers lack the nuance to support the large quantities of data generated by modern ...

This paper discusses the advantages of plant-wide historians over RDBs for data collection and time-series data optimization to enable true process visibility. There are critical capabilities that ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

In a world that is all about new apps and cloud computing, sometimes the important stuff doesn’t look new or cool. Sometimes key small business tools are just functional, they might have been around a ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider. The world has become “sensor-fied.” Sensors on everything, ...

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...