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 ...

SQL and NoSQL databases offer different tradeoffs. While they may compete in the context of a specific project—as in, which to choose for this application or that application—they are ...

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.

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 ...

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 at ...

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.

“With N1QL, we are SQL 92 compliant, which means if you write a query, you would not know if the query is executing on a relational database or on a NoSQL database,” explains Ravi Mayuram, vice ...

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. SQL and NoSQL?

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.

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 ...