“What you really want is the power the relational analysis of that JSON data, and that’s where Chaos comes in, where we expand those data streams,” he said.

As I noted in an earlier column, JSON is great for moving data around but not so hot when you need to convert it into data stored in a relational database.In that earlier column, I looked at why you ...

Having JSON support in a relational database is not new – it's been pretty common since IBM started adding JSON support to Db2 back in 2013. Originally, ...

“With Oracle Database 23c Free­–Developer Release, developers will be able to level up their skills and start building new apps using features such as the JSON Relational Duality which ...

MongoDB is, of course, a JSON-oriented database from the ground up. Not only does it support rich operations on JSON documents, but the MongoDB Query Language itself is expressed in JSON operations.

While relational databases remained strong, ... During the 2010s, JSON databases gained traction, along with the spectacular rise and ultimate fall of Hadoop as a data platform.

Of course, Oracle is not the only multimodel database out there; JSON document support has become a checklist item for many relational platforms -- IBM, Snowflake, Teradata, and others.

That enables graph analytics to be run on top of both relational and JSON data. Oracle has supported graph constructs for more than 20 years, Venzl said.

While relational databases rely on rigid structures, ... Documents can be stored in formats like JSON, BSON, and XML. Below is a JSON document that stores information about a user named Tom.