Main memory database systems

Memory Base

Article from Issue 141/2012

Author(s): Alfons Kemper and Thomas Neumann

Thanks to powerful hardware, in-memory databases run without accessing mass memory devices, which means they handle transactions and evaluations at high speed, introducing a paradigm shift in the database market.

In-memory database management systems (DBMSs), such as Times-Ten by Oracle [1] and solidDB by IBM [2], have been around for some time. These database systems keep the entire data set in RAM, thus removing the need to swap pages between the main memory buffer and the hard disk, as is the case with legacy DBMSs. However, in-memory database systems – until now – have tended to be niche products for special applications.

Buy this article as PDF

Express-Checkout as PDF

Price $2.95
(incl. VAT)

Buy Linux Magazine

SINGLE ISSUES

SUBSCRIPTIONS

Print Subs

Digisubs

TABLET & SMARTPHONE APPS

US / Canada

UK / Australia

Related content

Data Management

Open source database management systems offer greater flexibility and lower costs while avoiding vendor lock-in. Finding the right one depends on your project's needs.

more »
Google Releases C++ B-Tree Template Library

C++ B-Tree offers memory and time advantages over standard containers.

more »
Red Hat Releases JBoss Data Grid 6 Beta

Red Hat’s new Data Grid 6 in-memory database helps enterprise users ease into the cloud.

more »
Tech Tools
- Google Releases C++ B-Tree Template Library
- Unmetered.com
- Oracle Releases MySQL 5.6
- Eclipse Releases Hudson 3.0
more »
Hadoop 2 and Apache Spark

Hadoop version 2 has transitioned from an application to a Big Data platform. Reports of its demise are premature at best.

more »

comments powered by Disqus