Big Data. Big Decisions
InformationWeek
Special Coverage Series


Oracle Resumes HP Itanium Support--For Now

Oracle complies with a judge's ruling that it must keep developing its database and applications to run on HP's Itanium servers. But it vows to appeal.

Oracle Brings High-Tech To The High Seas
Oracle Brings High-Tech To The High Seas
(click image for larger view and for slideshow)
Oracle announced on Tuesday that it will comply with a court ruling handed down last month telling the company to continue to port the latest versions of its database and application software to run on Hewlett-Packard Itanium servers.

The announcement marks the close of part one of HP's breach-of-contract case against Oracle, which unilaterally announced in 2011 that it would drop support for HP's Itanium-based servers. In a decision handed down August 1, Judge James Kleinberg of the Superior Court of California, County of Santa Clara, backed HP's claims that a September 20, 2010, contract with Oracle explicitly said that mutual product support must continue as it had in the past. Therefore, Judge Kleinberg required Oracle to continue support for HP's top-end, HP/UX servers based on the Intel Itanium chip.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Oracle filed an objection to Kleinberg's ruling that said it "imposes on Oracle an unprecedented obligation to support the dying Itanium technology." Oracle also promised to appeal the decision, but it said it would comply with the ruling in the meantime.

Oracle last year announced that Oracle Database 12c, due out in early 2013, would not be available on Itanium, but in Tuesday's statement the company reversed itself. "A judge recently ruled that Oracle has a contract to continue porting its software to Itanium computers for as long as HP sells Itanium computers. Therefore, Oracle will continue building the latest versions of its database and other software covered by the judge's ruling to HP Itanium computers," the statement said.

[ Want more on the Itanium ruling? Read Oracle Loses HP Itanium Court Battle. ]

The announcement is a victory for HP and joint HP-Oracle customers who are have invested in Itanium servers--particularly recent buyers who previously had little hope of leveraging their investments before choosing either new software or new servers. Oracle said the new versions of Oracle software will be released on approximately the same schedule as Oracle software released for IBM's Power systems.

The second part of the legal case will be a jury trial to determine whether Oracle actually breached a contract and, if so, what damages it must pay HP. A trial date has yet to be set.

HP's financial results since Oracle's unilateral end-of-support announcement reveal double-digit declines in Itanium sales, so it's clear that damage has been done. But an award would likely be far less than the $4 billion HP is seeking in its suit based on an end to the partnership and a total loss of projected Itanium revenue through the end of the decade.

More than 180,000 Itanium-based systems were sold by all vendors using the chip between 2001 and 2007, according to IDC. Sales started to decline at a double-digit rate in 2008, and HP remains one of the few manufacturers committed to the chip. After more than 25 years of partnership, HP and Oracle have more than 140,000 joint customers, but statistics are scarce on how many of those customers are running recent generations of Itanium-based servers. HP's server sales are now dominated by X86-based machines.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.