In the world of database technology, there are two main types of databases: SQL and NoSQL—or, relational databases and non-relational databases. The difference speaks to how they’re built, the type of ...

Though NoSQL originally developed as a flexible and agile alternative to relational database systems, non-relational databases haven’t yet gained wide acceptability in the large enterprise segment.

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

Shortly after the explosion of non-relational databases, around 2009, it became apparent that rather than being part of the problem, SQL would instead continue to be part of the solution. If the new ...

The non-relational database explosion of the late 2000s was motivated by several disenchantments with the—until then—dominant relational database model. A key concern for many involved the overly ...

In “ The end of SQL databases – part 1,” I covered some background of the SQL language and relational databases, the current status and future for relational databases, the rise of frameworks that ...

But will it set a real standard for MongoDB alternatives? Analysis When Microsoft rolled out an open source extension stack for PostgreSQL to handle document-style data, it wasn't just taking aim at ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

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 faster, you ...