Native JSON functions in SQL Server and SQL Database enable you to process JSON documents just like in NoSQL databases. Every database - relational or NoSQL - has some pros and cons for JSON data ...

With SQL we need to query 4 tables to get all the data (or we could use a function to get it all in a single call.) Of course, when displaying the data, we'd need to first break up our JSON data into ...

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 stands for Structured Query Language, and it is the standard language for relational databases, which store data in tables with predefined schemas. NoSQL stands for Not Only SQL, and it is a ...

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 ...

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 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 ...

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 ...