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.

The idea of running transactions and analytics on the same database is not new but it's been held back by technology. But things in the hybrid world have been changing.

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.

Some examples include Neo4j, GraphBase, and Meronymy. NoSQL database systems are becoming popular for big data implementations and for the types of applications mentioned in the paragraphs above (for ...

Nevertheless, to avoid the misconception that NoSQL requires the absence of SQL, some in the non-relational community started describing NoSQL as “Not Only SQL” rather than “NO SQL.” Yet, as ...

Couchbase NoSQL Database gets the SQL Religion Couchbase 4.0 elegantly integrates SQL and JSON, maintaining schema-independence while adding support for joins and a range of BI tools.

Toad Data Studio features an advanced SQL editor, SQL and DDL generation, and the ability to edit JSON and XML fields directly within table fields or in their own separate editing window.

Warren said he can't remember what SQL database Wanderu was using before going NoSQL. But he does know that the architect of what it uses now came in, looked at the SQL database, and said that it ...

The image below shows how you would write a JOIN in SQL and how you would write a JOIN in N1QL. This is a very simple example. To learn more about what can be done with N1QL visit the Couchbase ...