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 ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

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 NoSQL ...

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems--and there were few ...

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 ...

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 ...

Because any database that does not support the SQL language is, by definition, a "NoSQL" database, some very different databases coexist under the NoSQL banner. Massively scalable data stores like ...

The number of businesses using NoSQL databases, which specialise in storing and managing unstructured and unpredictable data, is set to mushroom in the next few years. For instance, a study from ...