Big Data. Big Decisions
InformationWeek
Special Coverage Series


Storage Players Try To Improve Solid State

NetApp, Astute Networks, GreenBytes, and Whiptail Technology venture more deeply into solid state technology with new products that boost its performance.

11 Security Sights Seen Only At Black Hat
11 Security Sights Seen Only At Black Hat
(click image for larger view and for slideshow)
NetApp, Astute, GreenBytes, and Whiptail Technology stepped more deeply into the solid state drive market with announcements of hardware and software that accelerate application performance and decrease latency.

NetApp unveiled Flash Accel, a server-caching technology for its ONTAP operating system. Flash Accel is part of the company's virtual storage tiering (VST) portfolio of products, which also includes Flash Cache and NetApp Flash Pool. With NetApp's VST, IT administrators can manage flash memory at the server level, controller level, or disk level.

Flash Accel is deployed as software on any server containing a PCIe-based flash or solid state drive. It off-loads IOPs at the server and accelerates applications by storing hot data in server flash memory. The product is expected to be available in December.

The company also announced a partnership with Fusion-io where it will resell Fusion-io's ioDrive, ioTurbine, and other acceleration products.

[ Read Solid State Storage Can Save You Money. ]

Astute Networks announced on Tuesday the ViSX G4 Flash VM storage appliance, which uses all-flash memory to improve performance in virtual desktop infrastructures (VDI) and increase the number of virtual machines that can be supported.

ViSX's 10GbE DataPump Engine deduplicates data at wire speed. ViSX works with VMware vSphere, Microsoft Hyper-V, Citrix XenServer, and Red Hat RHEV in existing SAN or NAS infrastructures.

ViSX is a 2U (3.5-inch) high rack-mounted appliance that can be shared by virtual machines residing on host computers across the network. The DataPump Engine contained in the ViSX is an ASIC that provides hardware offload for iSCSI and TCP network traffic. The appliance has a capacity of 9.6TB enterprise multi-level cell flash memory and two 10GbE ports and four 1GbE ports. It is capable of being RAIDed at levels 0, 1, 10, 5 or 6 and performs inline deduplication of primary data.

The ViSX G4 is expected to be available as soon as October starting at $50,000.

GreenBytes, which started out as a deduplication company, Tuesday rolled out an IO offload appliance for accelerating virtual desktop infrastructure (VDI) implementations. Called the IO Offload Engine, the appliance handles the virtual machine booting, provisioning, and disk drive swaps from the storage system, thus freeing the SAN to handle lower-priority workloads.

Each IO Offload Engine is capable of supporting 1,000 VDI users. It can be configured as a pair of highly available appliances and performs inline deduplication of primary data. The IO Offload Engine is available now.

Finally, Whiptail teamed with Micron to use Micron flash memory in all of its Accela and Invicta arrays.

New innovative products may be a better fit for today's enterprise storage than monolithic systems. Also in the new, all-digital Storage Innovation issue of InformationWeek: Compliance in the cloud era. (Free with registration.)



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.