Big Data. Big Decisions
InformationWeek
Special Coverage Series


IBM Fights Rivals With Aggressive Power Server Prices

IBM entry-level Power 7+ servers now start at $6,000. Netezza analytics platform successor challenges EMC, Oracle and Teradata.

 Big Data Analytics Masters Degrees: 20 Top Programs
Big Data Analytics Masters Degrees: 20 Top Programs
(click image for larger view and for slideshow)
The sales numbers show that high-end servers from the likes of IBM, Oracle and HP are losing market share to commodity x86 hardware, but IBM isn't raising any white flags.

On Tuesday IBM announced eight new servers powered by its latest Power 7+ processor. The line now starts with an entry-level model that costs less than $6,000--right in line with comparable x86 servers. The company also announced three PureSystem upgrades aimed at big data and private-cloud deployments.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

IBM's latest Power 7+ processors, which deliver 2.5 times more cache memory and a 10% to 20% boost in clock speed over Power 7 processors, were introduced in October on two high-end models: the Power 770 and Power 780. The eight new Power 7+ models announced Tuesday span the heart of the high-volume market, starting with the $5,947 710 and moving up to the 750 and 760, which are geared to midsize and larger firms. Prices on the entry-level 710 and 730 are as much as 50% lower than the previous-generation models, according to IBM.

"Our entry-level server pricing is now comparable with X86 pricing for the first time, but it's not just about price," Ian Jarman, IBM's enterprise systems program manager, told InformationWeek. "The Power chip consistently outperforms x86 on per-core performance, and it provides greater efficiency for virtualization."

[ Want more on Power 7+ processors? Read IBM Boosts Server Performance, Security with New Chip. ]

Servers based on x86 processors are growing ever more powerful, and Intel's next-generation "Ivy Bridge" processor is set for launch later this year. Nonetheless, IBM insists that many compute-intensive applications and virtualization workloads will see best-possible performance on Power servers.

Power Systems run the AIX (Unix), Linux and IBM System I (formerly AS/400) operating systems. Popular uses include SAP enterprise application running on Unix, Infor XA ERP applications running on IBM System I and related database workloads. Entry-level servers are likely to run Web application servers, such as IBM WebSphere.

Performance upgrades and newly aggressive pricing aren't likely to win back customers that have already moved off of Unix--that's a one-way street. But IBM says it's wining many net-new customers in developing markets, such as China. The moves may also help IBM win upgrades among customers that might have otherwise moved off of Unix. The Power line has helped IBM gain "thousands" of Oracle Sun Sparc and HP Itanium Unix customers the last three years, according Jarman.

Indeed, IDC confirms that IBM now holds more than 50% of the high-end Unix server market--an all-time high. But IBM is gaining a larger slice of a shrinking pie. The future for Power Systems lies in its ability to also run multiple operating systems including Linux, according to IDC analyst Jean Bozman.

"For certain workloads, such as database, clustered database, high-performance computing and financial-services applications, the Power servers are quite competitive," Bozman told InformationWeek.

Power Systems servers suffered a 19% decline in revenue in the fourth quarter, but the decline was exacerbated by the paucity of new Power 7+ models and anticipation of the models now being released. Sales are expected to rebound by the second quarter, Mark Loughridge, IBM's senior VP and CFO, told financial analysts last month.

PureSystem Updates

The PureSystems announcements included upgrades to PureData System for Analytics (formerly Netezza), two new PureApplication System for private-cloud application deployment and two new PureFlex System aimed at managed service providers (MSPs). PureData System for Analytics is a distributed, massively parallel processing platform for big data analytics. This is the new name for IBM Netezza, but the platform still competes head to head with the likes of EMC Greenplum and selected configurations of Oracle Exadata and Teradata. The PureData upgrade delivers three times faster query performance and 50% more data capacity per rack, according to IBM. A big part of the advance is a move from 96 3.5-inch hard drives to 248 faster 2.5-inch drives.

"We have many more disks now feeding into the system to get data off the storage arrays and into the CPUs," Phil Francisco, IBM's VP of big data product management, told InformationWeek. Despite the increase in storage capacity, the system has the same footprint as the previous-generation data warehousing appliance, yet it consumes less power.

A new PureApplications "Mini" model is aimed at organizations with limited budgets and IT resources. The second new model, the PureApplication System on Power 7+, is built on IBM's latest Power Series servers and targets large enterprises that need a platform for rapid private-cloud or conventional deployments of mission-critical transactional applications. Both of these PureApplication models include built-in middleware and management software needed for rapid, private-cloud or on-premises application deployments.

IBM's Managed Service Provider Editions for PureFlex and Flex Systems are aimed at hosted and private-cloud infrastructure providers and they reduce systems admin, setup and operational costs by as much as 50% compared to built-from-scratch systems, according to IBM.

Take all these announcements together and it's a sweeping series of new models from IBM meant to staunch Unix defections while opening up new Linux, big data and cloud-computing opportunities.



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.