With enterprises operating out of multiple geographic locations, multi-database mining is becoming important for effective and informed decision making. The following data mining techniques will ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why.

Production data, such as production runs, recipes, shifts, products, schedules, etc., are typically stored in relational SQL databases. Process data, however, is typically stored in a time-series ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Commentary: It's no longer exciting to talk about the rise of non-relational databases, but it's happening all the same.

EdgeDB is a graph-relational database, which is a term Selivanov and his partner invented. Instead of thinking about accessing data sitting in tables with a certain schema, EdgeDB developers think ...

Reports of the death of the relational database have been greatly exaggerated – at least in the enterprise. According to a new study from Progress Software – the company’s latest annual data ...

Supabase develops an open-source relational database of the same name. It’s positioned as an alternative to Google LLC’s Firebase database, which is designed to power web and mobile apps.

Relational databases have formed the backbone of organizational data environments for many years. Companies rely on relational databases to support various critical back-office tasks, from invoice ...