Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

Traditional relational databases, the powerhouse of software applications since the 1980s, work well when your data is predictable and fits well into tables, columns, rows, and wherever queries ...

Cloudflare recently announced they are introducing support for relational database connections through Workers, ... they created a shim-layer by adapting an existing socket API library.

While relational databases remained strong, the 2000s saw the emergence of XML databases, and NoSQL, the idea that databases didn't need to be structured in a purely tabular form, ...

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 ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical ...

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 ...

The term relational database is almost superfluous these days. After all, every major commercial database product—Oracle, Sybase, DB2—is based on the same underlying relational model. There ...

Many post-relational database environments in small and midsize businesses have a staff of one programmer. They tend to have one or two consultants who work less than 40 hours a month for them.

Not anymore: Excel 2013’s table tools include features that make it easy to link charts and cells, perform searches, and create dynamically updated reports, just like—yes—a relational database.