Relational (SQL) databases store data in tables with strictly-defined relationships between tables. Non-relational (NoSQL) databases are more flexible and allow for less organized and less ...

Relational databases for operations on large data sets are contraindicated because SQL queries tend to consume many CPU cycles and thrash the disk as they process data.

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

Relational databases have existed for more than 40 years now. They’ve changed little over that period and while they work well, they couldn’t answer the scalability demands of cloud native ...

mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...

SQL (Structured Query language). SQL is the language of choice for most modern multi-user relational databases. This is due to the fact that SQL provides the syntax and idioms (language) you need to ...

What does relational database actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

The Linux Foundation on Monday welcomed Microsoft's DocumentDB into its stable of open source projects, waving the document ...

Poke around the infrastructure of any startup website or mobile app these days, and you're bound to find something other than a relational database doing much of the heavy lifting. Take, for ...

For years to come, most of us will still use relational databases and SQL. At the same time, I will continue to look for better ways to design and implement databases in my applications.