Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Doug Henschen

Doug Henschen

Executive Editor, InformationWeek

Microsoft Questions Salesforce.com Growth Prospects

Will the hot CRM vendor be a cloud computing shooting star? Rival exec says R&D investments won't measure up.

Microsoft is now spending $9.5 billion per year to provide the infrastructure that will be required for the cloud computing era. By comparison, Salesforce.com is investing only $120 million in research and development and won't be able to keep pace with the Amazons, Googles and Microsofts of this world.

This assessment, served up by Microsoft Business Solutions Corporate VP Michael Park, can be seen as a blatant attempt by a cloud computing Johnny-come-lately to cast doubt on one of the movement's pioneers and leaders.

Never mind that Salesforce.com, launched in 1999, has more than 80,000 customers while Microsoft Dynamics CRM Online, introduced in April 2008, is clearly in catch-up mode. Microsoft says Microsoft Dynamics CRM has 23,000 customer firms with 1.4 million users, but it doesn't break out on-premise versus online.

(Gartner figures for 2008 ranked Salesforce.com third in the total $9.15 billion CRM market, behind SAP and Oracle, respectively, with 10.6% of the market. Microsoft ranked fourth with 6.4% of the total CRM market. SAP, Oracle and Microsoft still get the vast majority of their CRM revenues from on-premise apps while Salesforce is delivered exclusively through the cloud.)

And try to forget that Microsoft Azure, introduced late last year, recently surpassed the 10,000-customer mark. Salesforce.com, in contrast, says its Force.com platform as a service is "road tested and trusted by nearly 60,000 companies." And more than 200,000 developers are said to have joined the developer.Force.com program.

Don't think about the present. Microsoft wants you to consider the future and the capacity for Salesforce.com to play in the big leagues. For starters, Salesforce is on track to reach $1.3 billion in revenue this year. Cash-rich giants Microsoft, Google and Amazon are projected to reach $62.5 billion, $23.6 billion, and $24.5 billion in revenues, respectively.

Park says Microsoft's multi-billion-dollar investments are being made in data centers worldwide in support of Microsoft Business Productivity Online Services (BPOS), Hotmail, Live.com, the Azure platform, and Dynamics Online applications.

Park shared his thoughts in connection with last week's release of the beta version of Microsoft Dynamics CRM 2011 (in both online and on-premise versions). The final online release will go live in 41 languages and 40 different markets (in a first-phase) in January. Other markets will be added as data-center capacity grows.

Salesforce is putting roughly 10% of its sales back into R&D, according to Park, and he notes: "When you look at what Salesforce has to do to maintain its installed base, invest in data-center infrastructure, and continue to move the applications forward, $120 million isn't a lot to cover all those needs."

 1 | 2  | Next Page »


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.