NoSQL vs. NewSQL: What’s the difference? NoSQL is a broad category of disparate database technologies, most of which have come to market in the past decade. NewSQL is a term coined by 451 Group ...

With a document database, data is not stored in tables with distinct column types. Instead, it’s stored in freeform “documents” with any number of fields and any number of nested structures.

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 ...

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.

N1QL, designed specifically for JSON-based document data, does just what you would think: it allows users and, perhaps more important, developers, to query Couchbase "buckets" (tables) using SQL ...

SQL is a relatively innocent bystander, but, because SQL is a universal feature of the RDBMS, the term “NoSQL” seemed a catchy and convenient tag for these new breed of databases. And, it’s true that, ...

Since the '80s, the dominant back end of business systems has been a relational database, whether Oracle, SQL Server or DB2. That's not much of an architectural choice.

N1QL extends SQL from traditionally operating on tables and rows (tuples) to operate on JSON (nested documents). It’s built on a nested recursive algebra for a nested recursive data model.

Document store databases let you manage records that are long and have varied structure. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big ...