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.

WAF vendors overlooked JSON in SQL Starting around 10 years ago, database engines started to add support for working with JSON (JavaScript Object Notation) data.

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 ...

Ever since Oracle extended its self-driving database and aggressively priced it for JSON developers, we've been wondering when they would come out and meet MongoDB developers where they live.

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 ...

SQL is orthogonal to data representation and storage. Some SQL systems support JSON and other structured object formats with better performance and more features than NoSQL implementations.

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.