Big Data. Big Decisions
InformationWeek
Special Coverage Series


Box Launches Accelerator Service To Boost Upload Speeds

Box global data transfer network cuts transmission lags for file sharing and collaboration.

Enterprise Social Networks: Must-Have Features Guide
Enterprise Social Networks: Must-Have Features Guide
(click image for larger view and for slideshow)
Cloud collaboration company Box is introducing a global file transfer acceleration feature Monday, seeking to bring users up to speed faster and improve its appeal to international organizations.

Box Accelerator will be available to all paying customers of the cloud service, which is built around uploading, downloading, syncing, sharing, previewing, and collaborating around files.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

For international organizations, one trade-off to using Box is that all data is stored in two Silicon Valley data centers. Part of this announcement is the addition of nine new upload locations that bring the service closer to its customers in North America, Europe, Australia, Asia, and South America, combined with new routing and file transfer optimizations. Box said it has applied for a patent on the routing technology, which analyzes user traffic based on several variables, including location, operating system, and browser preferences. This release is focused on the browser user experience, although the company plans to extend the same technology to its mobile apps and to API access from partner applications.

[ For a file sharing taste test, read Microsoft SkyDrive Vs. Dropbox, Google: Hands-On.]

Stefan Apitz, VP of operations at Box, said customers who have tested the new addition to the service have reported significant performance improvements. For example, Sony reported that file uploads from Japan were four times faster, he said. Domestic locations also benefited. The American Hospital Association said it saw six times better performance from Washington, D.C. and two times better from Chicago, according to Box.

When users first get their Box accounts, they typically upload a lot of content at once, so this speed improvement is important to improving the user experience, Apitz said.

Box Accelerator sounds a bit like the content distribution network technology companies like Akamai pioneered for improving website performance, which includes caching of frequently accessed files at geographically distributed locations, but Apitz stressed that Box's approach is different.

"This is different from a caching location because we never actually store the file," he said. "We're working on the TCP/IP layer to accelerate the transfer itself. We're taking advantage of Internet technology and ways to optimize the streaming of data ... but we make sure never to persist data outside of a [a user's computer or device] or one of our secure data center locations."

Box said benchmark testing performed by Neustar confirmed that Accelerator gives Box an edge over its rivals. According to the tests, Box had the lowest average upload time across all locations tested (2.7 times faster than the closest competitor globally, and 3.1 times faster than its closest competitor in the U.S.). On average, file uploads to Box were processed at 7 MB per second.

Compared with its popular but consumer-oriented rival Dropbox (currently trying to shore up its reputation for security following a breach), Box has always put more emphasis on meeting enterprise requirements for administration and access controls. Box positions itself as a challenger to SharePoint as the default corporate collaboration platform and recently made Forrester Research's list of cloud collaboration leaders, putting it the company of IBM, Microsoft, Salesforce.com, and Yammer.

"Box continues to differentiate themselves by thinking beyond basic file sharing and sync services, and instead focusing on the needs of enterprise customers," Alan Lepofsky of Constellation Research said in a statement for the press release. "Today's announcement of Box Accelerator shows how they are building a cloud infrastructure that can scale to meet the requirements of the largest of global companies."

Follow David F. Carr on Twitter @davidfcarr. The BrainYard is @thebyard and facebook.com/thebyard

Social media make the customer more powerful than ever. Here's how to listen and react. Also in the new, all-digital The Customer Really Comes First issue of The BrainYard: The right tools can help smooth over the rough edges in your social business architecture. (Free registration required.)



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.