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.

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.

Many of PostgreSQL’s recent changes, from scaling via sharding to adding JSON document-processing functions, have been inspired by NoSQL. The new PostgreSQL 9.5 continues in that vein, but doesn ...

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 ...

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, ...

And yes, SQL engines will be stuck onto “NoSQL” engines and will work the same problems from the other side. I went to a bigdata confab a while ago and just laughed at all the stories, “Doh! We ran ...

With the native JSON features in SQL Server 2016, the landscape changes and using SQL Server in an Event Sourcing scenario becomes realistic. However, how would you query JSON from a database table?

This article on SQL and NoSQL comparison will throw light on the debate on advantages and limitations on each. SQL database is a relational database. The basic quality of NoSQL is that it may not ...

SQL databases with in-memory column stores, NoSQL with query languages; it looks like the two schools of database design have begun to merge.

With the native JSON features in SQL Server 2016, the landscape changes and using SQL Server in an Event Sourcing scenario becomes realistic. However, how would you query JSON from a database table?