Relational Database Management Systems Reports

Proven strategies for archiving complex relational data
sponsored by IBM
WHITE PAPER: This white paper explains how the IBM Optim Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data both practical and desirable.
Posted: 08 Jun 2009 | Published: 30 Dec 2008

IBM

The Backbone for Enterprise Cloud-Ready Database Platform
sponsored by Dell EMC and Microsoft
WHITE PAPER: This resource introduces a shared infrastructure designed for remote and small office environments, and discusses its usage as a Microsoft SQL Server database platform.
Posted: 12 Nov 2013 | Published: 30 Jun 2013

Dell EMC and Microsoft

How Pink OTC Markets Cuts Reporting Time and Operating Costs with a Market Data Warehouse Built on Vertica and Syncsort
sponsored by Vertica Systems
WHITE PAPER: Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place,  built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

Benefits of NewSQL: Combining Elements of NoSQL and SQL
sponsored by NuoDB Inc
EGUIDE: In this e-guide from the experts at SearchDataManagement.com, learn about the rise of NewSQL database systems – which combine SQL and NoSQL elements – and the key benefits that these database alternatives offer.
Posted: 12 Mar 2014 | Published: 12 Mar 2014

NuoDB Inc

IBM InfoSphere Data Architect V7.6
sponsored by IBM
TRIAL SOFTWARE: IBM InfoSphere Data Architect is a collaborative data design solution to help you discover, model, relate, and standardize diverse and distributed data assets. It supports dimensional modeling. This page contains more information about the product and access to a 30-day trial.
Posted: 20 Dec 2011 | Premiered: 20 Dec 2011

IBM

Ovum Technology Review of Vertica’s Analytic Database
sponsored by Vertica Systems
WHITE PAPER: Column-based databases can be slow deleting and updating data. Vertica’s Analytic Database is designed specifically for storing and querying large datasets. Vertica’s differentiator is that it combines a columnar database engine with MPP and shared-nothing architecture, aggressive data-compression rates, and high availability.
Posted: 16 Jul 2010 | Published: 16 Jul 2010

Vertica Systems

Upgrading to SQL Server 2012
sponsored by Dell, Inc. and Intel®
EGUIDE: Whether you're planning to upgrade an existing SQL Server instance to 2012 or implement a new instance, this expert e-guide describes everything you need to know to drive SQL Server success. Read on to learn about prerequisite software, included components, little-known features, and more.
Posted: 17 Feb 2014 | Published: 17 Feb 2014

Dell, Inc. and Intel®

Comcast Revolutionizes Network Performance Data Analysis
sponsored by Vertica Systems
CASE STUDY: After briefly considering and rejecting an open-source tool, Harvell and his team selected Vertica Analytic Database 2.0, as it is a high-speed, relational SQL database management system.
Posted: 12 Nov 2008 | Published: 12 Nov 2008

Vertica Systems

DB2 10 for z/OS: The Smarter Faster Way to Upgrade
sponsored by IBM
EBOOK: With support for IBM DB2 for z/OS Version 8 retiring in April 2012, customers will have the option to skip a level and upgrade straight to DB2 10. This e-book is designed to help customers decide whether they are a good candidate to make this leap and provides best practices for planning an effective migration strategy.
Posted: 13 Feb 2012 | Published: 31 Oct 2011

IBM

Postgres Plus® Technical Evaluation Guide
sponsored by EnterpriseDB Corporation
WHITE PAPER: This guide outlines the common steps that people go through when they are interested in evaluating an open source database (e.g. one or both of the Postgres Plus products). This guide will also provide links to other documents/collateral that will help you accomplish each step. Read on to learn about these common steps in evaluation in more detail.
Posted: 16 Jun 2010 | Published: 15 Jun 2010

EnterpriseDB Corporation