NoSQL is often the right choice for projects requiring massive scale and enormous amounts of data: personalization, user profile management, extracting information from operational data in real ...

NoSQL databases are designed to store different types of data like Key Value, Documents, Time Series, Graph & IoT. Pascal Desmarets talks about how to do data modeling when using NoSQL databases.

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 ...

NoSQL grew out of the perceived need for “modern” database systems to support web initiatives. Additionally, some common attributes of NoSQL DBMSes include the lack of a schema, data clustering, ...

A NoSQL database that perfectly suits a real-time app may not even function for traditional statistics. So both relational and NoSQL databases have valuable roles in data analytics.

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 ...

Amazon helped start the "NoSQL" movement. And now it's giving the cause another shot in the arm. NoSQL is a widespread effort to build a new kind of database for “unstructured” information ...

"Oracle NoSQL Database is an enterprise-class NoSQL offering, which focuses on providing an easy-to-use programmatic API, predictable scalable performance, simple administration and management, as ...

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.