Many embedded applications require a database of sorts, but the type can vary widely from ISAM (Indexed Sequential Access Method) to SQL (structure query language). While SQL is readily available on ...

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 ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

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 ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

This new debate is principally focused on whether it is better to continue adherence to the SQL database structure with which we are most familiar (read “Manufacturing Databases”) or hitch our wagons ...

There has been a lot of interest lately in NoSQL databases and, of course, many of us have strong backgrounds and experience in traditional relational "SQL" databases. For application developers this ...

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Document databases such as MongoDB garnered rapid and strong support from application developers for multiple reasons. But clearly, one of those reasons is the support for flexible schemas. In the ...