SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

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 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, ...

The NoSQL database gets its name from what it isn’t: It’s a database that does not use Structured Query Language (SQL) to access the data. Some of the well-known databases, such as Oracle and ...

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 ...

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.

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 ...

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.

“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 ...

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 ...