Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Andy Dornan

Cisco Attacks Multi-Vendor Networks

The right network, from Cisco of course, can drive innovation, productivity, and enable new business models.

Price isn't everything and equipment from other networking vendors simply isn't good enough, a defensive Cisco said during a webcast on Wednesday. The networking giant was responding to a report from the influential analyst firm Gartner that said Cisco customers can save money by buying from other networking vendors. As the clear market leader in most categories of networking equipment, Cisco and its partner BlueWater Communications Group used the webcast to explain why cost savings shouldn't be the most important factor when choosing networking gear.

Both the original Gartner report and the Cisco response are framed as myth busting. Published in November last year, the Gartner report was called "Debunking the Myth of the Single-Vendor Network." The report said exactly what Cisco's competitors wanted to hear--that contrary to popular belief, multivendor networks were less complex than all-Cisco networks, and that Cisco customers who introduced a second networking vendor reduced their total cost of ownership by about 20% over five years.

In the months since, Cisco competitors have been promoting the report online and having their sales team hand it out to prospects. Non-Gartner clients can download the whole thing courtesy of Dell, which would love to do to Cisco what it did to IBM.

Cisco's answer is to change the question from one of cost to one about the importance of the network itself. "There's a debate ranging about whether the network really matters," said Rob Lloyd, Cisco executive VP of worldwide operations, in the webcast, titled "Debunking the Myth of the Good-Enough Network" (archived here). He cast one side of this debate as "newcomers to the networking industry and some industry commentators who believe that the value of the network should be determined by the cost of its components," the other as people who recognize "the fundamental contribution that the network can make to driving innovation, productivity, and enabling new business models." Cisco's basic argument is one that all IT pros should be familiar with and from which few would dissent: that it's better to add value than focus on cutting costs.

In service of this, the webcast and its associated whitepaper detail seven other myths ranging from security is an add-on product to the network has a single purpose. Overall, they're hard to disagree with, and build a compelling case for the idea that the network can add value and is still an arena of innovation. The only problem with Cisco's argument is that most other vendors are saying the same thing; the industry is filled with vendors who say they want to make the network into a platform for converged applications, not just a commodity pipe.

The focus on cost saving also misses the point that the motivation for adding a second networking vendor is often to bring in new and innovative technology. When InformationWeek Analytics asked 468 IT professionals about their network vendors for a report that ranked data center networking vendors (available here), we found that Cisco was tied for first place with HP and Brocade, and that Juniper and IBM weren't far behind. Smaller vendors can be very innovative too, something that Cisco's history of acquisitions shows it understands better than anyone.

One potential concern for customers is that such aggressive promotion of a single-vendor strategy could signal a shift away from Cisco's previous commitments to interoperability. After all, networking is all about connecting disparate systems together and Cisco didn't get to its near-monopoly position by refusing to play well with others. Every vendor wants to promote itself and bash its competitors, but saying that users should never buy from anyone else is a step further. However, Lloyd emphasized that Cisco is still committed to standards, positioning Cisco proprietary technologies as standards of the future. The webcast cited multiprotocol label switching, spanning tree redundancy, and Fiber Channel over Ethernet as examples of current standards that started life in Cisco products.

The weakness with Cisco's approach is that some parts of networking really are commodities; it's not a myth that today's bleeding edge innovation is tomorrow's commodity. The weakness with Gartner's position is that the pace of commoditization is different in every organization and even department, depending entirely on what the network needs to be used for. There are some areas where a single-vendor architecture is appropriate, some where cheep and cheerful will do, and some that need the latest and greatest from a hot new startup. Where IT can really add value is by knowing the difference.




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.