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 ...

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 ...

A database that is managed by an object-oriented database management system (ODBMS). Object databases are closely aligned with a particular object-oriented programming language and enable the data in ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

I urge our readers to have a look at the “Vietnam of Computer Science” by Ted Neward, which compares the quagmire of the Vietnam War to the current quagmire that results from our attempts to blend ...

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 an ...

db4o is an open-source, object-oriented database from db4objects. It is embeddable, in the sense that the entire db4o engine is supplied as a single library that links into your application. Versions ...

When it comes to providing reliable, flexible, and efficient object persistence for software systems, today's designers and architects are faced with many choices. From the technological perspective, ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...