SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

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 ...

The name might be short for Not Only SQL, but to be a proper database that can be used by normal enterprises and not just by hyperscalers with their fleets of PhDs, any database, whether it is a ...

As the name suggests, NoSQL databases usually do not use the SQL query language for data access. They use alternative languages which are suited to their data models. Why are NoSQL Databases ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

NoSQL and NewSQL databases are popular solutions in the data management space. At VoltDB, we’re sometimes asked to clarify the difference between the two approaches. Here’s what you need to know if ...

In fact, many NoSQL databases have added support for SQL-style queries. But in a world where enterprises are deluged by unstructured data from mobile, social, cloud, sensors and other sources ...

Integrated caching: In order to increase data through and increase performance, advanced NoSQL techniques cache data in system memory. This is in contrast to SQL database, which has to be done ...

However, the success of relational databases could be boiled down to two practical considerations: momentum and the power of the SQL query language. So-called “NoSQL” technology seems to run ...

Oracle described its 8.1 database as an object-relational database. Perhaps some future release of Oracle will be described as a SQL-NoSQL database.