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.

Also, if I chose to have no relationships in my SQL and simply pulled table data directly, it would be exactly as fast or faster than NoSql. 9) Flexibility is a double-edged sword.

SQL Server 2016 lets you treat JSON objects like rows in a table, allowing you to use data from AJAX queries in joins, updates and any other SQL statement you can think of. SQL Server 2016 provides ...

Developers rely on JSON -- giving rise to NoSQL document databases. VoltDB CTO Ryan Betts predicts JSON will ultimately be incorporated into relational database software, too ...

In any case, it seems that the SQL DB’s addition of JSON storage is an after-thought whereas NoSQL document DBs have obviously been purpose-built. At the same time, we can observe the acquisitions by ...

Running a multi-channel loyalty and engagement platform requires a lot of data. With 18,000 loyalty programs running across Web, mobile, social, and email channels, the folks at PunchTab are up to ...

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