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.

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 ...

Oracle REST Data Services (ORDS) offers a REST-based interface to data in relational tables.This provides a non-SQL-based API for retrieving table data using embedded JSON query documents in REST ...

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?

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 ...

Chamberlin — who last year said that “JSON looked a little bit like tables,” although you “sort of have to squint” – boiled down the SQL++ extensions that allow SQL to work with JSON data into three ...

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?