SQL database is a relational database. The basic quality of NoSQL is that it may not require fixed table schemas, usually avoid join operations, and typically scale horizontally.

SQL databases with in-memory column stores, NoSQL with query languages; it looks like the two schools of database design have begun to merge. Written by Simon Bisson, Contributor Nov. 24, 2014, 4: ...

So-called “NoSQL” technology seems to run counter to those strengths. But in reality, NoSQL is building momentum of its own, and providing the familiarity and power of SQL is how it’s being ...

As the SQL and NoSQL worlds continue to converge in the pursuit of comprehensive Big Data analytics solutions, a Silicon Valley start-up wants to provide a bridge between the two with RESTful APIs.

Like so many technology debates before it, the SQL/NoSQL debate may soon enter the realm of great technology disagreements as Mac versus PC, fieldbus versus Ethernet, and PC versus PLC-based control.

It can certainly be a daunting task, but when your SQL systems hit architectural limits or your cloud provider expenses skyrocket, it’s probably time to consider a move. Many IT organizations have ...

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.

Couchbase Server 4.0 addresses NoSQL’s biggest pain point with SQL-like query language for its document datastore Couchbase might seem like a bit of an outsider in the world of NoSQL datastores.

The articles on NoSQL databases in Reuven M. Lerner's At the Forge column appearing in recent issues of LJ have been enjoyable. Because this is the Enterprise issue, I think it would be helpful to ...

While the audience was comprised of NoSQL users and developers, many seemed to think Stonebraker’s SQL-friendlier approach had some merit, even if they disagreed on individual points.

Couchbase NoSQL Database gets the SQL Religion Couchbase 4.0 elegantly integrates SQL and JSON, maintaining schema-independence while adding support for joins and a range of BI tools.