It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB, for example, uses a document model, which can be thought of as a row in a RDBMS.

"Oracle NoSQL Database is an enterprise-class NoSQL offering, which focuses on providing an easy-to-use programmatic API, predictable scalable performance, simple administration and management, as ...

In terms of technology, these NoSQL systems share a few common characteristics. Generally, they’re all non-relational, open-source, cluster-friendly, schema-less, and built for the 21 st century ...

Although the term "NoSQL" is barely a year old, in reality, most of the databases described as NoSQL have been around a lot longer than the term itself. Many databases described as NoSQL arose over ...

The NoSQL movement has given us the opportunity to explore what we really require from our databases, and to find out what we already knew: there is no one-size-fits-all solution.

NoSQL is often the right choice for projects requiring massive scale and enormous amounts of data: personalization, user profile management, extracting information from operational data in real ...

NoSQL database software forms the core information processing engine for HealthCare.gov, the glitch-filled, $630 million online health exchange serving residents of the 36 states that did not ...

A NoSQL server usually has to ship the data to where it’s going. NoSQL hard truth No. 4: Too many access models In theory, SQL is supposed to be a standard language.

NoSQL for the Enterprise NoSQL has emerged to manage new data types, huge volumes of data and the relationships between complex and connected today inherent in modern applications. The type of NOSQL ...