Big Data. Big Decisions
InformationWeek
Special Coverage Series


Infrastructure-As-A-Service Options

Our latest Buyer's Guide looks at 8 top IaaS offerings in a range of categories.

Infrastructure-as-a-service lets companies focus on their core competencies without having to worry about buying, deploying, and maintaining data center hardware or facilities. IaaS is why Instagram sold at a $1 billion valuation with only 13 employees and why Pinterest served nearly 12 million monthly unique visitors with only 16 employees.

For our new Buyer's Guide, we defined an IaaS provider as offering self-service provisioning of an extremely large number of virtual machines and storage using an API or a Web control panel, without customers having to interact with an engineer or salesperson. For many companies, IaaS offers significant benefits, but with an ever-growing number of providers, it's difficult to know which will be the best choice. To help in the hunt for the perfect IaaS provider, we queried a dozen vendors about their offerings. Eight responded: GoGrid, Google, IBM, Internap, Joyent, NaviSite, SoftLayer, and Terremark. Amazon Web Services didn't respond, but given that it's a major IaaS player, we found answers to our questions on its website. We compared providers in several categories; get the full results at informationweek.com/ reports/iaasguide.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

CPU And Memory

Most vendors offer a variety of VMs based on the number of CPU cores, amount of RAM, and amount of local storage that comes with each VM. There are lots of options, from half a core (GoGrid) to 24 cores (also GoGrid), and 256 MB of RAM (Terremark) to 68.4 GB of RAM (Amazon). However, because virtualization does not lend itself to exact CPU definitions, some IaaS vendors have created their own nomenclature for how much processing power comes with each core on a particular VM. Amazon defines an "Elastic Compute Unit," or ECU, as "the equivalent CPU capacity of a 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor." Google uses a "Google Compute Engine Unit," or GQ, describing 2.75 GQs as "the minimum power of one logical core (a hardware hyper-thread) on our Sandy Bridge platform."

Computing Resources on Demand

Get the Infrastructure-As-A Service Buyer's Guide free with registration.

This report includes :
  • Information on redundancy and data center IaaS offerings
  • A companion spreadsheet of vendor responses to our survey
Get This And All Our Reports

Regardless of how a vendor defines its processing power, you should run benchmarks to see how its offering compares with your hardware.

Storage

Vendors typically offer up to three types of storage: local storage as part of the VM, also called "ephemeral" or "instance" storage, as it disappears when the VM is terminated; block storage that exists and is billed separately from the VM; and a storage service that has virtually unlimited available space and is billed by the space used.

There are two benefits to true block storage that's divorced from the VM. One is that block storage makes VM offerings more flexible: Some IaaS vendors only offer CPU, RAM, and storage in lockstep multiples, such as 1 CPU, 1 GB RAM, and 100 GB storage. If your application doesn't have significant RAM or CPU requirements but requires hundreds of gigabytes or terabytes of disk space, having a block storage option will let you avoid overpaying for a beefier machine.

The second benefit is that block offerings often can take snapshots and restore backups to new volumes very quickly. This is important if you need to restore service fast after an outage and have more than 50 GB of data that must be transferred to a new VM.

chart: What types of cloud providers do you use?

 1 | 23  | Next Page »


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.