Big Data. Big Decisions
InformationWeek
Special Coverage Series


Windows 7 Vs. Linux: OS Face-Off



(Page 4 of 5)




Windows 7 screen shot.
(click for larger image and for full photo gallery)

The latter means it's far easier for 64-bit drivers to be compiled, and to that end the 64-bit versions of most any distribution have the same full complement of drivers as their 32-bit counterparts. The end result: Windows may have support for just about every hardware device out there, but only if 64-bit support's not part of the equation.

In Windows, the 64-bit barrier shows up in some other minor, but annoying ways. Both 32- and 64-bit IE is included with the x64 editions of Windows, but if you plan on using the 64-bit version of Flash, keep waiting. Flash only works in the 32-bit incarnations of IE, Firefox and so on.

Official support for 64-bit browsers is planned later this year. On the Linux side, unofficial, but solid support for 64-bit Flash playback is out there right now -- although the level of implementation may vary widely depending on the distribution. Ubuntu, for instance, seems to have the most reliable handling of such things; with other distros it's more of a piecemeal crapshoot.

If you're committed to moving to 64-bit Windows but have no drivers for some crucial hardware, there are a few workarounds. One is a variation on a plan that Microsoft is hatching for Windows 7's official release: use a virtual machine, running 32-bit Windows, to enable hardware for which only 32-bit drivers exist. This can be done in Windows right now -- in fact, I did it using VirtualBox and a spare copy of 32-bit XP to get my scanner and printer working, neither of which were supported in any 64-bit edition of Windows.

It may also be possible to pull off the same trick by running Linux in the virtual machine. VirtualBox is particularly useful for this since it allows you to directly connect USB hardware to the virtual machine, even if said hardware has no driver on the host side. But if you have no overriding reason to move to a 64-bit edition of either Windows or Linux, odds are you can stay 32-bit with the next iterations of both without losing out on anything.

Your Programs

As someone else once put it: "It's the software, stupid." No operating system is going to be worth the trouble if it doesn't support programs you use. Windows 7 has a distinct advantage in that it supports all of the software that ran in Vista and XP, with only the most minimal of exceptions.

If you endured hassle getting programs to work in Windows Vista, most of that was probably due to the way Vista insisted on only running programs in non-administrative user mode. In the three years since, just about every program released for Windows or updated since is now "Vista-aware", and behaves appropriately. Windows 7 doesn't change this situation, so any existing Windows programs that worked under Vista should work in 7, too.

« Previous Page | 123 4 | 5  | Next Page »


Related Links

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.