Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Doug Henschen

Doug Henschen

Executive Editor, InformationWeek

Oracle Wants Cloud Cake And Hardware Wins

Oracle hopes infrastructure-as-a-service (IaaS) plan will help the company have its cake and eat it, too -- boosting Oracle hardware use and increasing cloud subscription revenue.

An infrastructure-as-a-service (IaaS) plan detailed by Oracle on Monday may enable the company to have its cake and eat it, too, boosting use of the company's hardware while also bolstering cloud subscription numbers.

Oracle president Mark Hurd and executive VP Thomas Kurian highlighted several cloud developments during a conference call with the press on Monday. But the IaaS plan, which was originally announced January 15, was the newest news during a half-hour session dominated by rehashes of past announcements.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Oracle IaaS may be a win-win for customers, too, so long as their idea of infrastructure-as-a-service is building out private-cloud infrastructure in their own data centers. In the case of Amazon Web Services, IaaS is compute, storage and other forms of capacity delivered as a service from the vendor's public cloud.

Oracle IaaS lets you deploy Exadata, Exalogic, Exalytics or Sparc SuperCluster servers on premises while paying for use of the hardware through monthly subscription fees rather than upfront capital expenditures. There's a semi-elastic capacity-on-demand option where you can pay for about 75% of the hardware's CPU capacity with the option of tapping into the other 25% by paying additional monthly fees as needed.

[ Want more on Oracle's hardware challenges? Read Oracle Q2 Results: Ellison Spins On Sun. ]

The "as a service" element of the plan is the free inclusion of Oracle PlatinumPlus services that promise ongoing systems monitoring by the vendor to identify system performance and reliability problems, security and compliance issues, and deviations from Oracle best practices and recommended configurations. The vendor says customers are advised on corrective actions on all of the above as well as on problems related to Oracle Database, Oracle Fusion Middleware, Oracle Solaris and Oracle Linux.

It remains to be seen how Oracle will account for IaaS-related transactions in its financial statements. Will these deals somehow count as both hardware shipments and cloud subscriptions? There was little time for questions during the call, but Hurd acknowledged "there will be a blurring of some of these [licensing and subscription terms] as we focus on the customer." The goal, he said, is to let customers consume Oracle intellectual property under any terms they choose.

The IaaS plan does have a few caveats. For starters it's a three-year deal and the hardware is owned by Oracle (even at the end of the term). In the capacity-on-demand plan, customers pay 80% of the list price of the hardware plus three years of maintenance fees prorated over 36 months. Monthly charges for capacity on demand are an additional 25% to 33% of the standard monthly charge (with the percentage varying by system and configuration). Customers can extend the subscription past three years, paying 70% of the original monthly fee. These charges do not include software license fees for operating systems, databases, middleware or applications.

In a brief update on Oracle's public cloud, Kurian said that all Oracle's software-as-a-service (SaaS) offerings, including ERP, sales and marketing, human capital management, talent management, and customer service, had seen new releases since October's Oracle Open World event. In addition, Oracle platform-as-a-service (PaaS) database and Java offerings have been released. Several new PaaS offerings, including storage, messaging, virtual-compute and developer services, are now in beta, Kurian said, and they will be released in the first half of the year.

Oracle has more than 10,000 customers and 25 million users in the cloud, Hurd and Kurian both claimed during the call. The customer count seems reasonable, given Oracle's many cloud acquisitions, but the user count seems astronomical.

Salesforce.com, widely acknowledged to be the cloud computing market-share leader, reported roughly 104,000 customers and 2.1 million subscribers as of mid-2011. Hurd noted that nine of the top 10 SaaS vendors use Oracle database, so perhaps he's including customers of those OEMs in the count? Oracle did not respond to a request for details on these stats in time for publication.

Responding to a question from a reporter, Hurd said Oracle's $7.5 billion 2009 acquisition of Sun Microsystems had already paid for itself. "The cash flow has far exceeded the purchase price," he said, citing revenue streams related to Java, software support and hardware.

Oracle-Sun hardware sales have steadily declined since the acquisition, yet Oracle has consistently said that decline is part of a planned shift away from low-margin commodity hardware and toward higher-margin sales of Exa-series and Sparc engineered systems -- the very products featured in the new IaaS plan.

Oracle has promised a hardware rebound, but it has taken longer than expected. Oracle CEO Larry Ellison said during the company's second-quarter earnings call in December that hardware sales are now on track to level off in the third quarter and turn positive in the fourth quarter. The IaaS plan seems tailor made to help keep the company's hardware factories humming.



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.