The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box. An example of the new technologies applied could be ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

Graph databases are gaining attention as enterprises work on their next-generation artificial intelligence (AI) applications. While still a bit of an outlier, graph-oriented databases continue to find ...

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 ...

Jennifer Zaino is a New York-based freelance writer specializing in business and technology journalism. Her work appears in publications including The Semantic Web Blog, RFID Journal, Smart Enterprise ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...