The information below serves as a brief primer to help you better understand the database terms you’ll most often encounter. Relational Databases. Relational databases became the database of choice ...

Document-oriented databases (also called: aggregate databases, document databases or document stores) place each record, and its associative data, inside single documents. This database type is a ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and querying ...

SQL is about as easy as it gets in the world of programming, and yet its learning curve is still steep enough to prevent many people from interacting with relational databases. Salesforce’s AI ...

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 and ...

First introduced in SQL Server 2012, columnstore indexes can give you major performance gains -- provided you have the right workloads. Here's how columnstore indexes work and what types of data work ...

MultiValue databases continue to underpin critical applications in many organizations, but frequently there is also the need to integrate MV data with another database management system, and often ...

How can these decentralized and distributed databases be applied? The databases accelerate the communication between different parties in the production lane. Let’s consider the following example. In ...

The new platform, dubbed DataStax Enterprise (DSE) 3.0, is targeted at organizations looking to adopt NoSQL databases -- a type of next-generation, non-relational database optimized for big data -- ...