Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Charles Babcock

Charles Babcock

Editor At Large, InformationWeek

VMware Vs. Microsoft: The Next Chapter

How Much Of A Threat Is Microsoft?

(Page 2 of 2)

There is already some pilfering of VMware customers by Microsoft and there's more to come. Many small and midsized companies will discover they can manage quite well with the level of virtualization management that Microsoft offers. And large companies already using VMware will find they can run a department or a remote branch quite adequately with Windows Server 2012 and Hyper-V. But I don't think that's the whole story.

VMware still occupies the heart of the virtualization space at many large, virtualized data centers. It's trying to follow up success with its vSphere 5 suite with the next step, the software-defined data center as captured in its vCloud Suite, which provides for user self-provisioning of virtual machines and flexible storage and networking that moves around when the virtual machine does.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

COO and president Carl Eschenbach noted during the earnings call that the fourth quarter of 2012 was the first in which vCloud Suite had been available for the full quarter. Bookings during the quarter exceeded expectations, and most of its orders were in the form of enterprise license agreements. "The vCloud Suite comes in three flavors: standard, advanced and enterprise. Our enterprise version, with a list price of $11,495 per CPU, had more bookings in Q4 than either the standard or advanced versions. The latter are the lower-priced versions, of course.

This single point speaks clearly to where VMware's continued strength lies. It's led the conversion of data center servers from one application per server, utilized at 7-15%, to multiple applications per server, with the server hardware utilized closer to 50%. And there's little doubt there's still a ways to go. The fact is, both VMware's and Microsoft's virtualization software continues to become more capable, and that means fewer licenses must be sold to manage more and more virtual machines.

VMware is now leading how virtualization changes the management of the data center into a more cloud-like environment of flexible, pooled resources where end users are able to self-provision, then IT is able to tell them how much their department will be billed for the resource at the end of each month. The software-defined data center is driven by automated processes run by IT-set policies. With such an approach, it may be possible to come closer to utilizing 80-90% of the hardware resources instead of living with them as perpetually over-provisioned.

That is, in VMware's view, virtualization is not just about subdividing servers. It's the future command post of a highly automated, policy-driven data center. Within vCloud Suite is vCenter Operations, a component that rolls up configuration management, performance management and capacity management. To get to 85%-95% utilization rates, capacity of all hardware resources will need to be monitored and carefully honed. In all likelihood, it will require standby copies of virtual machines, waiting to be fired up in the public cloud as an extension of the data center during those periods when on-premises capacity isn't sufficient. VMware has such a development in mind as it assembles the components of vCloud Suite.

Whether VMware can really sell this vision of the future remains to be seen. Many IT shops could stop well short of it, rely more heavily on Microsoft, and still be well-managed, trim and efficient operations. Or they could reorganize around open source software -- Eucalyuptus, OpenStack or CloudStack -- and expect it to move in the same direction of integrated operations as vCloud Director. Open source, while still behind, has shown a rapid pace of innovation on the cloud side of future operations.

Neither VMware customers, Microsoft customers nor open source users are sure where all the ferment in virtualization, data center re-organization and cloud computing will lead. Will one brand run off with the whole show? The possibility that it might not be VMware seemed to occur to a lot of investors at the same time after the fourth-quarter earnings report.

But between the lines of the fourth-quarter report, VMware is not doing that badly where it most wants to next establish itself. If it is selling vCloud enterprise license agreements at a better pace than the lesser agreements, that means to me it's getting buy-in for its software-defined data center concept. And by cutting back in applications, it's saying it'll put more wood behind the arrow of its primary business. So far, VMware has been about executing in incremental steps. Competitors have striven to keep up, but each time they announce they've done another thing VMware can do, they've looked up and there was VMware still several steps ahead. But 2013 may be the year when that is less true than before, and as the VMware bears have already indicated, its stock will suffer.

But VMware bulls still have an appetite for the fight. At the end of 2013, they may be the ones to say the market for virtualization products is still expanding and VMware revenues along with it. The data center of the future is still evolving, and VMware's product line along with it; the operational efficiencies and know-how of cloud computing still accumulating, and VMware's cloud system still capturing and implementing it day to day.

« Previous Page | 1 2  


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.