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.

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 ...

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 ...

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.

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 ...

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 SQL/NoSQL debate is principally focused on whether it is better to continue adherence to the SQL database structure, with which manufacturers are most familiar, or hitch our wagons to the NoSQL ...

Start coding a new database in your garage with a buddy of yours. Use JavaScript. Name it after your dog. Patent your own data model. Do not go open source. Take over the world. That is HarperDB's ...

SQL is a relatively innocent bystander, but, because SQL is a universal feature of the RDBMS, the term “NoSQL” seemed a catchy and convenient tag for these new breed of databases. And, it’s true that, ...