Relational databases (SQL) have been used for decades by nearly every type of business around the world. The technology is reliable, based on stable standards, and has been mature for more than 20 ...

It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

Some NoSQL solutions, therefore, focus on consistency models, i.e. availability: the database is always available to accept new data and can always provide an answer when queried, even if that data is ...

For example, a document-oriented NoSQL database takes the data you want to store and aggregates it into documents using the JSON format. Each JSON document can be thought of as an object to be ...

The wrong database, or poor implementation, can utterly undermine your work. So get to know what’s what with NoSQL databases to suit your own Big Data analytics needs.

NoSQL refers to a broad class of database products which tend not to expose SQL interfaces. What separates these products from traditional databases has less to do with SQL and more to do with a ...

NoSQL attacked both relational databases and SQL in the same vein. The main problem this time was that the Internet had destroyed the underlying premise of the 40-year-old relational database ...

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 ...

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.

Yes, SQL. It’s in NoSQL databases now. Nonrelational databases are turning to the most successful and well-known database language to put it to work on nonrelational data (like JSON).