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 ...

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 ...

Remember when SQL developers felt threatened by Big Data? Relational database management systems were old-school relics that couldn't cope with the vast amounts of unstructured, disparate data. NoSQL ...

Splice Machine announced the 2.0 version of its RDBMS, a hybrid in-memory RDBMS powered by Hadoop and Spark. Splice Machine’s version 2.0 delivers a database solution that incorporates the proven ...

On and off, over the years, I have followed and written about the SQL-on-Hadoop saga. The adventure started with Apache Hive, which originally provided a SQL layer on top of MapReduce, bringing new ...

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 relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...

It turns out world domination can take a long, long time. Back in 2014, Network World’s Brandon Butler declared that NoSQL was “giving SQL database vendors and users a scare,” and a year later ...

NEW DELHI: The FireBird Project has officially announced the availability of version 2.0 of its open source Firebird relational database software. Result of more than two years' efforts from a ...

In “The end of SQL and relational databases? (part 1 of 3)” I covered some background on the SQL language and relational databases, the current and future for relational databases, the rise of ...