Big Data. Big Decisions
InformationWeek
Special Coverage Series


Oracle Buys Xsigo To Boost Cloud Prowess

Oracle nabs networking virtualization technology for simple, flexible connections to servers, storage, and networks.

Oracle notched yet another acquisition Monday, announcing an agreement to purchase Xsigo Systems, a San Jose, Calif.-based, supplier of software-defined networking (SDN) technology. The terms of the deal, which is expected to close in the fourth quarter, were not disclosed.

Companies are embracing virtualization to support rapid, agile deployment at low cost. But virtualized servers introduce complexity with their many connections to external network and storage resources. Xsigo uses its Data Center Fabric architecture to converge network and storage traffic off host servers into Xsigo switching hardware, separating Ethernet traffic from SAN or Fibre Channel storage and boosting I/O performance. The combination of software and hardware provides what Xsigo describes as a "wire-once infrastructure" for virtualized deployment that minimizes the need for switches, cards, cables, and related administrative work.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"The proliferation of virtualized servers in the last few years has made the virtualization of the supporting network connections essential," said John Fowler, Oracle executive VP of systems, in a statement. "With Xsigo, customers can reduce the complexity and simplify management of their clouds by delivering compute, storage, and network resources that can be dynamically reallocated on-demand."

[ Want more on Oracle's last cloud move? Read Oracle Exalogic 2.0 Focuses On Elastic Cloud, Automation. ]

The virtualization market is consolidating, with category leader VMware announcing a $1.26 billion deal to acquire Nicira on July 24, just weeks after acquiring DynamicOps.

Xsigo has more than 300 customers, including British Telecom, eBay, Softbank, and Verizon. In a letter to Xsigo customers and partners, Fowler said the company will complement Oracle's software, server, storage, and network product portfolio and will round out the company's virtualization capabilities for cloud environments. Just last week, Oracle introduced Exalogic Elastic Cloud Software 2.0, an upgrade to the vendor's private-cloud application deployment appliance. That new software includes server-level virtualization capabilities that will make it easier to spin up and spin down capacity, according to Oracle.

The deal for Xsigo marks Oracle's fifth acquisition in the last three months. Three of those deals--Vitrue, Collective Intellect, and Involver--are in the social networking arena, while the Skire purchase brings Oracle cloud-based project portfolio management capabilities.



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.