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.

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 ...

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

NoSQL is a broad category of disparate database technologies, most of which have come to market in the past decade. NewSQL is a term coined by 451 Group analyst Matt Aslett to describe a new group of ...

NoSQL databases did scale much, much better than Oracle Database, DB2, or SQL Server, which are all based on a 40-year-old design. However, each type of NoSQL database had new restrictions: ...

Thus, SQL drove the adoption of relational databases to near ubiquity. However, we’ve started to hit the limitations of what relational systems can do. Data no longer follows a uniform structure.

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 ...

However, the success of relational databases could be boiled down to two practical considerations: momentum and the power of the SQL query language. So-called “NoSQL” technology seems to run ...

Couchbase NoSQL Database gets the SQL Religion Couchbase 4.0 elegantly integrates SQL and JSON, ... It is also fully tolerant of unstructured data. So, for example, ...

SQL-based relational database systems are indeed as moribund as NoSQL advocates charge, he argued. But this is the fault of the database vendors themselves, not SQL.