Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Charles Babcock

Charles Babcock

Editor At Large, InformationWeek

Benioff Vs. Ellison: This Round Goes To Salesforce

Salesforce.com CEO defends cloud computing as a better economic model, contrary to Oracle's appliances.

At Oracle OpenWorld, Larry Ellison went to great pains to define Oracle-endorsed cloud computing as something other than Salesforce.com. At the CTO Forum and Web 2.0 shows Wednesday, Salesforce CEO Marc Benioff gave as good as he got. He said in a morning keynote that Salesforce "wants to warn people against the false cloud." In a panel appearance later in the day, he said Ellison shouldn't describe Oracle as a cloud computing vendor.

"Because of Google and Salesforce, everybody today wants to be in cloud computing, wants to be a pioneer. So everybody is renaming the company and saying we're the leader in cloud computing, we're this, we're that. That's why we want to warn people about the false cloud," Benioff said in his CTO Forum keynote in San Francisco.

At the afternoon panel, he made it more direct: "Cloud computing to me is something that's economical, it's democratic." That means you can eliminate million-dollar Oracle Exalogic Elastic Cloud appliances; those who use the term cloud with such things are speaking for "the false cloud," he said.

It was another page turning in the ongoing Ellison-Benioff relationship. I remember seeing Ellison call a young Benioff out of a group of Oracle executives 10 years ago to address a questioner's point. He watched approvingly as Benioff commanded the stage in a way that reflected lessons learned at Larry's knee. That's the problem. Benioff has the skills to do some of the same things Larry does, and perhaps outdo him at his own game.

When it comes to appliances, "You can basically fool yourself into thinking it's cloud computing. But it's not. It's not efficient. It's not democratic and it's not economical. If it costs a million dollars for a box, it's not a cloud," Benioff said to the CTO Forum.

In his 2009 book Behind the Cloud, Benioff portrayed Ellison as his mentor and himself uncertain that he should leave Oracle, even with Salesforce.com well off the launch pad. Then again, when Ellison later financed the majority share of a Salesforce.com would-be competitor, NetSuite, Benioff was furious and tried to fire Ellison from the Salesforce.com board of directors. In this relationship, Ellison performs as the mentoring elder one moment, Big Brother the next. It's a binary thing, sometimes off, sometimes on.

Does the Exadata or Exalogic hardware cost a million dollars? Actually, it's the amount of Oracle software you stack on them that's going to drive up the purchase price, and they are designed for a deep vertical stack of Oracle database, applications, middleware, and management software. There are a lot of CPUs in the appliances, and Oracle software is priced either by the number of processors or by the number of named users. The appliance approach packs a lot of software license fees into the box as well as disk drives, memory, and CPUs.

A competitor put together a likely Exalogic appliance based on Oracle's published price list and came up with a price tag in excess of $2 million. An Oracle white paper, when it addresses the cost issue, said the ability to quickly install Exalogic and run it without a lot of detailed IT staff configuration, while getting high throughput, results in a 60% savings over a comparable free-standing set of servers. Either way, Oracle never claimed it was competing on price.

Nevertheless, Benioff is striking new and fertile ground in defense of the cloud as he responds to Ellison's jibes. Cloud computing is about economics -- sharing economies of scale with the customer. It's about a more democratic distribution model, where scalable computing and high-performance computing is available to those who decide they're willing to pay for it on an hourly basis. Because it's available for a few hours at a time, if the customer chooses to buy that way, many can afford it. And Salesforce.com has pioneered the multi-tenant application, where many users pay monthly fees to share an online set of servers and software.

Ellison, in his Sept. 19 Oracle OpenWorld address, defined the approved cloud as Amazon Web Services EC2, an explanation that still leaves me scratching my head since the Exalogic Elastic Cloud has so little resemblance to EC2. At the same time, he attacked the safety and legitimacy of the Salesforce multi-tenant application.

In responding, Benioff is beginning to find his stride and striking sparks on where cloud computing's real value lies. It is a more democratic form of computing. It is about efficiency and economics, not pricey appliances. In this dance of the disputatious elephants, Ellison may have taught his combative mentee more than he realizes.



Related Reading


More Insights




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.