NoSQL databases are often associated with "big data" tasks, handling large volumes of data in various forms: Columnar databases, for dealing with massive collections of simple structured data, ...

A NoSQL database makes it simpler to add new fields for the entries that need them. Some NoSQL databases use a “document” model, where sets of keys and their values are grouped into documents.

So-called “NoSQL” technology seems to run counter to those strengths. But in reality, NoSQL is building momentum of its own, and providing the familiarity and power of SQL is how it’s being ...

Regarding NoSQL, Mendelsohn outlined its value proposition in his conference keynote: "NoSQL is good for applications which need fast, simple database requests (key/value lookups, no joins), which ...

NoSQL is a whole new way of thinking about a database. Though NoSQL is not a relational database, the reality is that a relational database model may not be the best solution for all situations.

If you spend any time at all reading IT trade journals and websites, you've no doubt heard about the NoSQL movement. In a nutshell, NoSQL databases (also called post-relational databases) are a ...

The NoSQL movement has given us the opportunity to explore what we really require from our databases, and to find out what we already knew: there is no one-size-fits-all solution.

In terms of technology, these NoSQL systems share a few common characteristics. Generally, they’re all non-relational, open-source, cluster-friendly, schema-less, and built for the 21 st century ...

The document database is one of the fastest growing types of NoSQL databases today. It’s a derivation of the key-value store. But instead of storing data in rows and columns, the key value pairs are ...

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: ...