While relational databases still dominate IT budgets, many new development projects are turning to NoSQL databases, which have emerged in recent years to serve all sorts of interesting use cases.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

Key-value NoSQL database features compared Five widely used products (including one cloud service) are worth your consideration; they are explicitly billed as key-value databases or offer key ...

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

What if the main problem with relational databases was the back end and not the front end?

There are several different types of non-relational databases that fall under the NoSQL umbrella, including key-value stores, document-oriented databases, columnar databases and graph databases ...

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.

There are four emerging categories of NoSQL databases available today: Key-Value stores, Column Family databases, Document databases and Graph databases. Each was designed to accommodate the huge ...

A NoSQL database has flexible data requirements, making it a better fit for applications that will evolve over time than an SQL database.

These ‘document stores’ expand upon the traditional key-value store by replacing the values with JSON-structured documents, each able to contain sub-keys and sub-values, arrays of value, or ...