Scientists are problem solvers. There are technological advancements that happened by chance and those that happened because of research. Regardless of how much effort is invested in coming up with an ...

The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box. An example of the new technologies applied could be ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

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 ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an XML database? XML databases use XML to model and query data. XML is a ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management systems ...

While relational database technology is still the undisputed leader when it comes to enterprise data management, it is also becoming increasingly apparent that it is no longer the only game in town.

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

Relational databases have long been a staple in enterprise IT. But demand for different kinds of databases has grown in recent years. And, according to a new Forrester Wave report, "NoSQL is not an ...

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 ...