Big Data. Big Decisions
InformationWeek
Special Coverage Series


Rackspace Buys Two Cloud Computing Firms For $11.5 Million

The hosted computing services company acquires Slicehost and Jungle Disk to compete head-on with Amazon Web Services.

Rackspace, a provider of hosted computing services, is using two acquisitions to gain a bigger presence in the emerging market for cloud computing. It sees Amazon's Web Services, perhaps the biggest name in cloud computing, as its top competitor.

Rackspace announced Wednesday that it's acquired Slicehost, a provider of hosted virtual servers, and Jungle Disk, a provider of online storage, for a combined $11.5 million.

Rackspace manages more than 40,000 dedicated servers for businesses in its data centers in a traditional hosting model. It went public earlier this year, and for its second quarter ended June 30, reported net income of $4.2 million on revenue of $130.8 million, with revenue up 58% over the comparable quarter last year.

It sees Slicehost as paving its way into the new area of cloud computing dominated by Amazon's Web Services, in which customers share processing capacity through the use of virtualized servers and can scale up or down computing resources based on need.

Slicehost, with only about a dozen employees, hosts 40,000 virtual servers, or "slices," for customers. Each has chosen a slice of computing power, memory, storage, and bandwidth based on a monthly fee. For example, Slicehost offers a 1-GB server "slice" with 400 GB of bandwidth for $70 a month, while an 8-GB slice with 2,000 GB of bandwidth is priced at $450 a month. Slicehost will be sold through a new division called Cloud Servers; Rackspace plans to expand the business globally through data centers it has in Hong Kong and London.

Customers that have used Rackspace's traditional hosting service but aren't using their servers to full capacity may want to switch to Cloud Servers' Slicehost, said Rackspace CTO John Engates. But for some systems that require high performance and security, such as certain databases, customers may feel more comfortable sticking with Rackspace's traditional offerings, he said.

"Rackspace has the opportunity to combine the best of both worlds, bringing cloud and traditional hosting together," Engates said. He added that Cloud Servers is a "very compelling offering for people who might otherwise be an Amazon EC2 user."

Rackspace has had a small presence in cloud computing with a division called Mosso. That's being renamed Cloud Sites and provides a hosted server platform for Web-based businesses that pay for capacity based on Web site traffic spikes.

Rackspace also renamed its CloudFS online storage service Cloud Files. That service offers replicated storage starting at 15 cents a gigabyte. The acquired Jungle Disk company, which provides consumers and businesses with online storage, will fall within this division.

Jungle Disk currently uses Amazon S3 to store files for customers. It will continue to use that storage infrastructure and will expand to Cloud Files in coming months, Engates said.

Through a partnership with Limelight Networks, Rackspace is planning another new service for online content delivery and one for hosted e-mail archiving through a partnership with Sonian Networks.

Slicehost, Jungle Disk, Limelight, and Sonian ... these aren't household names in cloud computing services. InformationWeek has identified 20 other such companies along with an independent analysis. Download the report here (registration required).



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.