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).

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 ...

A relational DBMS requires a system catalog, but it may be called something different depending upon the particular DBMS you are using: In Oracle it is referred to as the Data Dictionary. In SQL ...

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

For technical clarification, databases come in two flavors: relational and non-relational. Relational (SQL) databases store data in tables with strictly-defined relationships between tables.

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 ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had.If you wanted the database to handle more data and run ...

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

Oh, sure, NoSQL is having an impact on the $46 billion database market–still just 3% of the market, but growing at a rapid pace even as more traditional relational databases inch up by 5.4% ...

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.