Big Data. Big Decisions
InformationWeek
Special Coverage Series


Survey: Government IT Workers Prefer Hybrid, Private Clouds

Support for private clouds is stronger in the federal sector, according to a survey sponsored by Quest Software Public Sector.

Top 20 Government Cloud Service Providers
(click image for larger view)
Slideshow: Top 20 Government Cloud Service Providers
Government and public-sector IT professionals think hybrid or private clouds will be a better option for use in their agencies over than next five years than public clouds, a new survey has found.

More than 36% of IT professionals in federal, state, and local governments believe that a hybrid cloud model--some combination of private and public cloud use--will be the best fit for their organizations in the near term, according the recently released study "Pulse on Virtualization and Cloud Computing" (PDF).

Moreover, 28% said they prefer a private cloud, while only 7% thought public clouds were a good idea. Sixteen percent showed interest in a community option, 3% preferred none of the options presented in the survey, and 9% said they didn't know which cloud option would serve their organization best over the next five years.

Quest Software Public Sector, a subsidiary of Quest Software, commissioned the survey, which was conducted by the School of Graduate and Continuing Studies at Norwich University. Norwich is a private military college that is also a National Security Agency and Department of Homeland Security Center of Excellence.

Norwich polled 646 government IT professionals from federal civilian, federal defense, and intelligence agencies, as well as professionals from state, local, and municipal government. State higher-education agency professionals also responded to the survey.

Not surprisingly, support for private clouds at the federal level was even higher than at the state or local level, with 37 percent of federal IT professionals preferring a private cloud to either a hybrid or public model, according to the survey.

The federal government has high security standards for its networks and has prioritized cybersecurity over the past several years. However, federal agencies so far have chosen both public and private options for their cloud deployments.

The General Services Administration and the Department of Agriculture, for instance, both used public clouds for migrating in-house email to the cloud, whereas the Army is using a private cloud hosted by DISA for its own email migration.

Still, the survey found that vulnerability to security breaches remains the chief barrier to public cloud adoption among government customers, with federal professionals again having more consternation about public clouds.

More than 62% of federal professionals polled were concerned about security versus more than 42% of state and local respondents, according to the survey.

Even as the feds said they preferred private clouds, not many of them thought their organizations would be deploying one themselves. Only 16% said they their organization would set up and operate a private cloud as part of the federal government's cloud-first mandated ordered by U.S. CIO Vivek Kundra in December.

In fact, nearly half of federal IT professionals surveyed, or 48%, weren't sure how their agencies would meet the requirements of the cloud-first policy, according to the survey.

Security concerns give many companies pause as they consider migrating portions of their IT operations to cloud-based services. But you can stay safe in the cloud, as this Tech Center report explains. Download it now. (Free registration required.)



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.