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.

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

Oracle 12c, PostgreSQL 9.2, VoltDB and others support JSON – often with performance benchmarks superior to “native” JSON NoSQL stores. SQL will continue to win market share and will continue ...

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.

They wanted the ability to perform multi table joins, and multi conditions statements. Them, and pretty much everyone else in the database world. The convergence of SQL and NoSQL solutions is ...

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?

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, ...

Looking to extend the scope of its high-performance Hadoop distribution, MapR Technologies Inc. today is announcing the addition of native JSON support to its NoSQL database.JSON (Javascript Objec ...

However, JSON documents are self-describing, which provides N1QL statements with a basis for evaluating SQL column expressions. It’s typical in JSON to embed child documents that would be represented ...

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?