This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is an object-oriented Database? An object oriented database manages objects ...

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 ...

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 ...

One of the cloud-related trends that developers have been paying attention to lately is the idea of “NoSQL,” a set of operational-data technologies based on nonrelational technology. These ...

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, horizontal ...

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 ...

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 ...

“NewSQL” is the 451 Groups shorthand for the various new scalable/high performance SQL database vendors. They have previously referred to these products as ‘ScalableSQL’ to differentiate them from the ...

Although relational database management system (RDBMS) products continue to rule the roost in terms of installations and usage, NoSQL database technology represents the fastest-growing type of DBMS ...

Much of today's data is unstructured; it doesn't fit neatly into relational rows and columns. A one-size-fits-all database won't do. NoSQL databases, the most ubiquitous of which is MongoDB, were once ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...