NoSQL allows data to be casually self-referential in ways that are more complex for SQL databases to emulate. The Structured Query Language used by relational databases provides a uniform way to ...

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 ...

It's high performance with high availability, and offers rich query language and easy scalability. NoSQL is gaining momentum, and is supported by Hadoop, MongoDB and others. The NoSQL Database ...

which use SQL as a query language. The original NoSQL systems were built for scale, unstructured data, and did not use relational (table-based) schema. Most early NoSQL solutions dumped SQL as a query ...

So an RDBMS is a good choice if the query and reporting needs are very critical. Real time analytics for operational data is better suited to a NoSQL setting. Further, in cases where data is ...

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 ...

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 ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

SQL (Structured Query Language) is a programming language ... which includes classic relational databases as a subset. NoSQL database also trades off “ACID” (atomicity, consistency, isolation ...