Big Data. Big Decisions
InformationWeek
Special Coverage Series


Oracle 12c Database: Open World's Centerpiece

Oracle's venerable database will gain virtualization; new Exadata appliance and tighter integration between cloud and on-premises data also expected.

Microsoft SkyDrive Vs. Dropbox, Google: Hands-On
Microsoft SkyDrive Vs. Dropbox, Google: Hands-On
(click image for larger view and for slideshow)
The worst-kept secret about next week's Oracle Open World event is that it will serve as the launching pad for Oracle 12c, the next-generation release of the industry's top-selling database. Oracle CEO Larry Ellison touted the announcement during an earnings conference call last week as being "a very, very big deal."

The "c" in 12c is for cloud, and Ellison divulged that database virtualization is a big part of what will make the update cloud friendly. "I'm not sure I want to use the multi-tenant term," Ellison said, "[but 12c will] have a thing called plausible databases, which allow multiple tenants to securely coexist in the same database. And then that's covered with virtualization."

The combination of plausible databases and virtualization is a "belt and suspenders approach to security," Ellison said, ensuring that data is "isolated and private and safe and secure."

Database virtualization is nothing new. VMWare, for one, introduced a vFabric product for database virtualization last year, and a vFabric Data Director 2.0 upgrade in July added support for running Oracle 10g and 11g in virtual machines.

[ Related: Oracle Open World: Key Issues On Tap. ]

Database virtualization offers a number of advantages, including the ability to maximize hardware use. And by running multiple database instances on one CPU instead of multiple CPUs, database customers can reduce CPU-based licensing charges--although Oracle probably won't spin it that way. App developers and managers can treat database capacity as an on-demand resource, easing operational expenses and app development costs.

Oracle has been touting many of these deployment and resource optimization benefits through its Exalogic Elastic Cloud Appliance. But Exalogic is limited to delivering virtual network-, storage-, and server-level capacity. A new Exadata Database Machine to be announced at Open World will undoubtedly exploit the database virtualization capabilities of the 12c database.

The new Exadata, rumored to be called the X-3, will include a 1/8 rack configuration, according to Oracle database blogger Andy Colvin. The entry point for the current X-2 Exadata is a 1/4 rack configuration, and according to analyst Merv Adrian of Gartner, the vast majority of Exadata sales are on this lowest-cost model.

Despite all the hype about big data, the emergence of a 1/8 rack Exadata configuration would confirm that the vast majority of database users are working with fewer than 10 terabytes of data. And with Oracle's hardware business continuing to struggle--hardware revenue was down 24% year-over-year to $779 million for the quarter ended Aug. 31--the company desperately needs to get more customers on the Exadata engineered systems path.

Oracle says hardware sales are declining overall because it's getting out of the commodity X86 server business. It's focusing on the combination of high-end servers and its "Exa" engineered systems. "Exadata, Exalogic, Exalytics and our other engineered systems grew more than 100% in the quarter," Oracle president Mark Hurd said last week. "For the full year, we expect to double engineered systems sales to well over $1 billion."

As for the database at the heart of Exadata, Ellison said 12c will be introduced late this year or early next year and that it will perpetuate Oracle market share gains. "The primary competitor, IBM, I believe, continues to lose share to us every quarter, as does our second competitor, which is SQL Server," Ellison said. "And we believe that Exadata is doing a pretty good job of competing with Teradata."

The cloud-oriented features of 12c are likely to be the glue between what might otherwise seem like disparate discussions at Open World encompassing cloud applications and on-premises infrastructure. It's a good bet that Ellison will make the case that Oracle alone has figured out how to do cloud infrastructure the right way, and that customers will benefit whether they're running apps in Oracle's cloud or using its engineered systems for private-cloud deployment.

In-memory analytics offers subsecond response times and hundreds of thousands of transactions per second. Now falling costs put it in reach of more enterprises. Also in the Analytics Speed Demon special issue of InformationWeek: Louisiana State University hopes to align business and IT more closely through a master's program focused on analytics. (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.