Non-structured databases predate SQL. MUMPS dates to 1966, and is perhaps the canonical NoSQL database. It is a key-value store in almost exactly the same fashion as Mongo or Couch.

SQL remains a popular choice and a proven solution when it comes to modern databases that handle large-volume analytic workloads and real-time transactions. Google, despite its early adoption of NoSQL ...

This article on SQL and NoSQL comparison will throw light on the debate on advantages and limitations on each. SQL database is a relational database. The basic quality of NoSQL is that it may not ...

And, finally, the SQL language can be overused and complex, but this is largely the choice of the developer or adopted standards within an application group. So if most of the perceived weaknesses for ...

According to Kapuya, the real difference between NoSQL and SQL lies in the different data access methods provided by NoSQL and SQL, which result in different scalability and performance results.

SQL databases with in-memory column stores, NoSQL with query languages; it looks like the two schools of database design have begun to merge. Written by Simon Bisson, Contributor Nov. 24, 2014, 4: ...

Like so many technology debates before it, the SQL/NoSQL debate may soon enter the realm of great technology disagreements as Mac versus PC, fieldbus versus Ethernet, and PC versus PLC-based control.

PostgreSQL implementation of document-oriented NoSQL datastore adopted under permissive MIT license The Linux Foundation on ...

Even the biggest names in the NoSQL space — MongoDB and Hadoop — were in use with only 10 and 8 percent, respectively, of the respondents. DBaaS also showed only a modest degree of uptake.

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.