So an RDBMS is a good choice if the query and reporting needs are very critical. Real time analytics for operational data is better suited to a NoSQL setting.

Also, even for simple queries these are often slow in terms of latency — even if they scale better in terms of throughout. (Examples: MongoDB, Amazon DocumentDB.) ...

The NoSQL taxonomy supports key-value stores, document store, BigTable, and graph databases. MongoDB, for example, uses a document model, which can be thought of as a row in a RDBMS.

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.

There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL databases have added support for SQL-style queries.

Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for migrating data.

NoSQL basics 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 databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed ...

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.

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 ...