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.

With PunchTab’s business growing, Ait Oufikir set out to find a solution that would give his clients the analytics and complex reporting capabilities they needed. While the data PunchTab stores is ...

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.

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 ...

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 ...

While SQL has traditionally been used to query data stored in relational database management systems (RDBMS) according to a rigid schema of inter-related tables that contain rows and columns, ...

The newest example is Oracle Autonomous JSON Database, a full-featured database for developers working with JSON data. JSON is a document storage format that’s extremely popular with developers ...

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.