Big Data. Big Decisions
InformationWeek
Special Coverage Series


SAP Pays Oracle $306 Million To Avoid New Trial

SAP seeks resolution to copyright infringement case, but Oracle can still appeal judge's decision to knock down $1.3 billion jury award.

SAP has agreed to pay Oracle $306 million in the copyright-infringement lawsuit over its since-closed TomorrowNow unit downloading and copying Oracle software and documentation.

It's a change in direction for the case, as Oracle had originally sought a new trial after a federal judge knocked down a $1.3 billion jury verdict handed down in 2010. Reducing the award to $272 million, Judge Phyllis Hamilton, of U.S. District Court for Northern California, said the jury's award was "contrary to the weight of the evidence and grossly excessive."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The companies agreed on the new damage figure "to save time and expense of a new trial," lawyers for Oracle and SAP said in a filing in federal court in Oakland, Calif. The new trial was set to begin later this month, but in a statement issued by Oracle Thursday it said that by agreeing to damages it could immediately take the original verdict to the Ninth Circuit Court of Appeals, asking it to reinstate higher damages.

[ Want more on Oracle's other big legal case? Read Oracle Loses HP Itanium Court Battle. ]

Oracle has lost a string of recent court battles, including a ruling this week in which a judge found that Oracle is contractually bound to support HP Itanium servers. In May, a jury found that Google had infringed some of Oracle's copyrighted Java APIs, though not to the extent that Oracle had hoped. Jurors were unable to agree on whether Google's use of Java in its Android operating system was permissible fair use. Google has asked a judge to declare a mistrial, which would bring a new round in that legal battle.

With the HP and Google cases, as well as a pending lawsuit against support provider Rimini Street, on Oracle's hands, it would make sense for the company to take the more expedient and less expensive path of an appeal rather than a new trial in the SAP case.

SAP accepted liability for the infringement by TomorrowNow unit even before the trial began, yet Oracle went ahead with the case, bringing SAP executives to the stand and detailing the extent of TomorrowNow efforts to copy Oracle support materials. In testimony, SAP executives said a lack of oversight of TomorrowNow, a unit acquired in 2005, had allowed the illegal practices to continue. Oracle filed the suit against SAP in 2007.

In a statement issued Thursday on the new $306 million damage agreement, SAP said "this case has gone on long enough. Although we believe that $306M is more than the appropriate damages amount, we agreed to this in an effort to bring this case to a reasonable resolution."

The terms of the new agreement are lopsided. SAP won't have to pay damages until after all appeals have been resolved, but if Oracle wins a judgment that's less than $306 million, SAP agreed to pay the difference. SAP has already paid Oracle $120 million in legal fees in the case, so it will pay a minimum of $426 million to Oracle. SAP has set aside 227 million euros ($277 million) on its balance sheet to resolve the litigation.

The new agreement must be approved by Judge Hamilton, the same judge who knocked down Oracle's $1.3 billion jury verdict.



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.