Relational databases were a revelation in their time, decoupling query design from schema design, and they enabled developers to focus solely on schema design, knowing they could later query their ...

What once were schema-less technologies have evolved to bring the core values of relational schema to the architectural wonder of a NoSQL database. Along with a table-based schema, returns a scenario ...

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 ...

Well, as we used to know it, anyway. By the early 2000s, the limitations of the relational model–such as strict schemas and strong consistency–along the explosion of data and data types led architects ...

NoSQL solutions emerged as a reaction to frustration with the cost and inflexibility of legacy RDBMS products like Oracle and IBM DB2, which use SQL as a query language. The original NoSQL systems ...

A relational database is no longer the default choice. Mike Loukides charts the rise of the NoSQL movement and explains how to choose the right database for your application.

The four key database types that fall under the NoSQL category are key-value stores which allow the storage of schema-less data, with a key and actual data, column family databases, which store data ...

The rigid schema requirements of relational databases are a roadblock to releasing fast, scalable, and responsive applications. Developers and enterprises are increasingly expected to bring ...

It's clear that NoSQL adoption has paid dividends to the Twitters and Netflixes of the world. But it's been less apparent just how much attention mainstream organizations ought to pay to the trend ...

Couchbase NoSQL Database gets the SQL Religion Couchbase 4.0 elegantly integrates SQL and JSON, maintaining schema-independence while adding support for joins and a range of BI tools.