Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

While the data PunchTab stores is semi-structured binary JSON (or BSON), Ait Oufikir wanted to enable his customers to analyze it using traditional SQL techniques. And because all of PunchTab’s IT ...

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 ...

Couchbase announced a new language called N1QL that allows SQL queries over JSON data stored in its NoSQL document-oriented database.

The next step for Oracle’s Autonomous Database is extending it to JSON document developers at a very competitive price point. It’s a good first step, but Oracle still needs to make yet one ...

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

With SQL Server 2016, it now makes sense to store JSON objects in your database (even though there’s no JSON datatype). Here’s how to query JSON properties to find the rows you want.