The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

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, ...

For the first time in over 20 years, there appear to be cracks forming in the relational model’s dominance of the database management systems market. The relational database management system (RDBMS) ...

Nowadays, huge volumes of unstructured data are generated, and this cannot be restricted to standardized text inputs for the RDBMS. For example, every corporate entity has applications that generate ...

Prior to 2008, whatever your database question, the answer was always,“Oracle”—or sometimes, “MySQL” or, “SQL Server.” The relational database management system (RDBMS) model—really a triumvirate of ...

The similarities and differences between HDBMS, NDBMS, RDBMS and OODBMS give the clear cut idea to the user or database designer of selecting better model for storing information. In this paper, the ...

Last issue I talked about Thor Technologies, its new round of funding and its “best of breed” solutions. But what the Thor folks really wanted to talk about was the use of SQL-based relational ...

Look inside one of Sun's current "Niagara" or "coolthreads" machines and what you'll see is an early market product reflecting a deep commitment to migrating what we naively think of as SMP ...

Many people associate open source data framework Hadoop with managing truly massive amounts of data. And with good reason: Hadoop storage is used by Facebook and Yahoo, which many people (rightly) ...