NoSQL and NewSQL databases are popular solutions in the data management ... The default of speaking in terms of categories (SQL, NoSQL, NewSQL) vs. use cases and problems makes it hard to choose the ...

Academic researchers typically refer to these databases as structured storage, which includes classic relational databases as a subset. NoSQL ... the difference between MySQL and SQL Server.

The fundamental difference between SQL and NoSQL is not all that complicated. Each has a different philosophy for how data should be stored and retrieved. With SQL databases, all data has an ...

In fact, many NoSQL databases have added support for SQL-style queries. But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors and other sources ...

As the name suggests, NoSQL databases usually do not use the SQL query language for data access. They use alternative languages which are suited to their data models. Why are NoSQL Databases ...

NoSQL databases have proven to be a better choice in that regard, using object-focused technologies such as JSON, for example. Even if you are a SQL shop, the incremental time to learn emerging ...

However, the success of relational databases could be boiled down to two practical considerations: momentum and the power of the SQL query language. So-called “NoSQL” technology seems to run ...

To SQL or to NoSQL? That’s been a common question ever since NoSQL databases started to make their mark with developers a few years back. Thanks to high-profile success stories like Netflix ...

Them, and pretty much everyone else in the database world. The convergence of SQL and NoSQL solutions is something that has been going on for a while. A typical way to deal with this requirement ...

It took a long time for software architects to look beyond structured databases as a solution to common problems, but there is little debate that NoSQL databases have filled ... recommendation engine ...