Since the rise of the Web, SQL-based relational databases have been the dominant structured storage technology behind online applications. The past few years have seen the emergence of the cloud as a ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management systems ...

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 ...

Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

Of any enterprise technology, enterprises are most dedicated to their chosen database. Once data goes into a particular database, CIOs hate to take it out. It's costly, and the risks often outweigh ...

On top of business's growing frustration with proprietary software, the relational database model championed by the big vendors is looking increasingly dated, according to the CEO of leading ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.