Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Doug Henschen

Doug Henschen

Executive Editor, InformationWeek

Oracle Q2 Results: Ellison Spins On Sun

CEO Larry Ellison talks up Oracle's Sun acquisition even as hardware sales slide 23%. Software sales rise.

Oracle on Tuesday reported robust 18% growth in new software license and cloud software subscription revenues for the company's second fiscal quarter that ended November 30. It was a performance worth crowing about, yet CEO Larry Ellison confined most of his comments to Oracle's Sun hardware business, where the numbers were far from encouraging.

Second quarter hardware sales totaled $734 million, down 23% from the year-earlier result of $953 million (all figures in constant currencies). The performance was well below Oracle's own low-end guidance of an 18% year-over-year decline, yet Ellison incongruously put a positive spin on the news.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"Our $7.5 billion purchase of Sun has already proven to be the most strategic and profitable acquisition Oracle has ever made," Ellison said during a conference call with analysts after the close of the stock market on Tuesday. "Sun hardware technology has enabled us to become a leader in the highly profitable engineered system segment of the hardware business."

Sun hardware sales were in decline when the company was acquired, but Oracle accelerated that slide by getting out of the commodity X86 Intel server business. Oracle has said all along has been that fast growth in higher-margin sales of engineered systems -- Exadata, Exalogic and Exalytics -- as well as the Sparc T4 Unix server would eventually counter the drop in commodity hardware sales while buoying profitability. It appears that transition is taking longer than expected.

[ What's the latest from Oracle on big data? Read Oracle Upgrades NoSQL Database, Big Data Appliance. ]

"The declines in the [hardware] business had been beginning to moderate; however, the more rapid declines in the August quarter and now the November quarter make it unlikely this business' growth will turn positive in the upcoming February quarter," wrote Nomura equity analyst Rick Sherlund in a research note.

Ellison told analysts hardware sales will level off in the third quarter and turn positive in the fourth quarter. Engineered systems sales surpassed 700 units during the second quarter, with a 70% increase in sequential unit bookings, according to Oracle President Mark Hurd. Unit sales may have been boosted by October's introduction of a low-cost, eighth-rack Exadata appliance introduced at Oracle OpenWorld that cut the cost of entry into the Exa-series line with a list price of $200,000.

The most encouraging results for Oracle in 2Q were on the software front, with new software license and subscription sales hitting $2.39 billion, up 18% from $2.04 billion a year earlier. Software license update and product support revenues (otherwise known as maintenance fees) totaled $4.26 billion, up 8% from $3.98 billion in the year-earlier period.

Oracle's total revenues on the quarter were $9.09 billion, up 5% from $8.79 a year earlier measures in constant currencies. By region, sales were up 22% in the Americas, 13% in the Asia-Pacific region, and 12% in Europe, the Middle East and Africa. Oracle's database, middleware and application revenues were all up by double digits, according to Hurd, but the bright spot was Oracle applications, up 30%. Cloud application wins included Abercrombie & Fitch, Emirates Air, Expedia, Macy's and United Airlines. Engineered systems customer wins included China Mobile, Facebook, Time Warner Cable, Chevron, Vodaphone and Walmart.

Looking toward the third quarter, Oracle President and CFO Safra Catz projected new software and subscription sales would increase 4% to 14%. Hardware sales are expected to be negative 10% to flat, Catz said, putting Ellison's 3Q prediction at the top end of company guidance. Total revenue in the third quarter is expected to grow 2% to 6%.

Reminding analysts that the Sun purchase wasn't just about hardware, Ellison also pointed out that Oracle gained Java through that deal. "Today our Java business is booming, growing over 34% this past quarter," Ellison said. He also noted that engineered systems are bundled with Oracle software, which is where the margins are realized.

As is the case with the Exa-series products and other hardware, Oracle does not break out revenue or profit margins for Java, so it's tough to validate Ellison's claim that Sun has been Oracle's best acquisition ever. Is it more profitable and strategic than, say, Peoplesoft, Siebel or Hyperion, software businesses that have extended Oracle's reach into ERP, business intelligence, analytics and financial analysis? Time will tell.



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.