The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases.Often, NoSQL databases boast better design flexibility ...

In a conversation last year, Justin Sheehy, CTO of Basho, described NoSQL as a movement, rather than a technology. This description immediately felt right; I've never been comfortable talking ...

Many early NoSQL databases did not use the most sophisticated algorithms for ensuring consistency between entries and tables. The earliest NoSQL databases used simpler algorithms because they were ...

NoSQL does away with them for the sake of speed, flexibility, and scale. Topics Spotlight: AI ... For instance, a certain column in a table may be restricted to integers only.

Though NoSQL is not a relational database, ... It is not built on tables and does not employ SQL to manipulate data. It also may not provide full ACID (atomicity, consistency, ...

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.

In a NoSQL database like MongoDB, for example, a document (aka complex object) can be the equivalent of rows joined across multiple tables, and consistency is guaranteed within that object.

Also, if I chose to have no relationships in my SQL and simply pulled table data directly, it would be exactly as fast or faster than NoSql. 9) Flexibility is a double-edged sword.

NoSQL is Critical for Flexibility Relational and NoSQL data models are very different. The relational model takes data and separates it into many interrelated tables that contain rows and columns.