SQL Server 2016 provides new support for working with JSON objects. In a previous column, I discussed how to generate JSON from SQL queries. This column looks at the reverse process: accepting JSON ...

"Relational SQL operates over tables and columns and needs a strict schema," Biyikoglu said. "With N1QL, all queries are executed over JSON data in Couchbase Server. You don't have to deal with a ...

SQL vs. N1QL: A Sample WHERE Query to Retrieve New Books (source: Couchbase) Couchbase exec Cihan Biyikoglu explained the idea in a blog post last June. "Relational SQL operates over tables and ...

Microsoft is taking a different approach: SQL Server doesn’t yet accommodate JSON queries, so instead the company announced Azure DocumentDB, a native document DBaaS (database as a service) for ...

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 ...

Mongo did an admirable job of storing the JSON documents, but analyzing the data was a challenge. Once PunchTab started loading its Mongo-based JSON data into BitYota (using Amazon S3 as a conduit), ...

For more than 40 years, SQL has provided a standard way to query structured data. However, much of the data being generated and stored today exists in semi-structured formats, like JSON, which doesn’t ...

Effectively, those methods can become just thin wrappers around SQL queries. If you want to play with SQL Server’s JSON support (or the other big new feature in SQL Server 2016, temporal tables), you ...