Welcome!

News Feed Item

Quincy Extreme Data Now Fastest to London and Frankfurt

-- Aurora-Slough LD4 in 35.39 ms and Aurora-Frankfurt in 37.79 ms; more UK colos to follow

OAKLAND, California, April 23, 2014 /PRNewswire/ -- Quincy Data, LLC announced that its Quincy Extreme Data service is distributing Aurora-sourced data to London's Slough-LD4 data center in 35.39 milliseconds (ms) and to Frankfurt's-FR2 data center in 37.79 ms. Both routes offer the lowest known latency for any commercially available service and will receive substantial upgrades over the next several months to ensure that the QED service remains the fastest.

"Quincy's European expansion is our next phase in delivering a market data service that is fast, fair and flexible," says co-founder Stephane Tyc. "At last, the lowest latency market data can be bought as a service, lowering barriers to entry and fostering competition."

Quincy's announcement includes plans for further expansion of its European service, adding more London POPs over the next two months. Soon Quincy will distribute select data from Eurex to London, NJ and Illinois at what the company believes are lowest commercially available latencies. Quincy Data currently distributes market data at the lowest known latency in the US, along the key route connecting Illinois and New Jersey and another connecting Aurora, IL with 350 E. Cermak in Chicago.

"We are committed to supporting fair and robust markets by making the fastest data widely obtainable," says Jim Considine, Quincy's Chief Operating Officer. "On route after route, Quincy offers the deepest dataset, broadest footprint and fastest delivery. We are pleased to offer to clients more and more data in more and more trading centers around the world."

Quincy Data is the leading provider of extremely low latency market data and is accelerating its rollout of additional US and European exchange data. For this European expansion, Quincy capitalizes on wireless bandwidth from an unaffiliated telecom provider. The initial service bests all comers, and after the noted upgrades, will operate within 10 microseconds of the provider's best internal speed and likely the best end-to-end speed achieved by any combination of private and commercial routes.

Market data delivered over microwave is moving rapidly beyond early adopters into the mainstream. The latency advantage of microwave over fiber is a physical constant, varying only by the length of the route. However, pure latency is not the most compelling driver. The primary motivation for adoption of microwave market data today is that risk management decision cycles are smaller than the fiber-to-microwave latency differential.

"When risk management algorithms are faster than the few milliseconds' edge of microwave over fiber, our data service becomes an obvious choice. With fiber, you base your decisions on stale data," says Tyc. "This very practical and powerful arithmetic is driving mainstream adoption of the Quincy Extreme Data service."

The momentum toward the mainstream has changed the competitive landscape of microwave market data. "Data consumers have shifted their focus from competing on speed to partnering on speed," says Considine. "As an independent provider dedicated to a level playing field, Quincy aims to be the partner of choice."

All latency figures quoted are one-way.

About Quincy Data, LLC Quincy Data is the leading microwave distributor of extremely low latency market data. Live since 2012, the Quincy Extreme Data service offers an integrated and normalized feed of select market data sourced from multiple financial exchanges in the US and Europe and offered in exchange colocation centers in Illinois, New Jersey, the UK and Frankfurt. Quincy is dedicated to leveling the playing field for extremely low latency market data and being the data provider of choice among electronic trading desks of all sizes.

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Predictive analytics tools monitor, report, and troubleshoot in order to make proactive decisions about the health, performance, and utilization of storage. Most enterprises combine cloud and on-premise storage, resulting in blended environments of physical, virtual, cloud, and other platforms, which justifies more sophisticated storage analytics. In his session at 18th Cloud Expo, Peter McCallum, Vice President of Datacenter Solutions at FalconStor, discussed using predictive analytics to mon...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and sh...
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Onalytica. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
Get deep visibility into the performance of your databases and expert advice for performance optimization and tuning. You can't get application performance without database performance. Give everyone on the team a comprehensive view of how every aspect of the system affects performance across SQL database operations, host server and OS, virtualization resources and storage I/O. Quickly find bottlenecks and troubleshoot complex problems.
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effici...
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
In his session at 19th Cloud Expo, Claude Remillard, Principal Program Manager in Developer Division at Microsoft, contrasted how his team used config as code and immutable patterns for continuous delivery of microservices and apps to the cloud. He showed how the immutable patterns helps developers do away with most of the complexity of config as code-enabling scenarios such as rollback, zero downtime upgrades with far greater simplicity. He also demoed building immutable pipelines in the cloud ...
@DevOpsSummit taking place June 6-8, 2017 at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @DevOpsSummit at Cloud Expo New York Call for Papers is now open.
In IT, we sometimes coin terms for things before we know exactly what they are and how they’ll be used. The resulting terms may capture a common set of aspirations and goals – as “cloud” did broadly for on-demand, self-service, and flexible computing. But such a term can also lump together diverse and even competing practices, technologies, and priorities to the point where important distinctions are glossed over and lost.
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enter...
All clouds are not equal. To succeed in a DevOps context, organizations should plan to develop/deploy apps across a choice of on-premise and public clouds simultaneously depending on the business needs. This is where the concept of the Lean Cloud comes in - resting on the idea that you often need to relocate your app modules over their life cycles for both innovation and operational efficiency in the cloud. In his session at @DevOpsSummit at19th Cloud Expo, Valentin (Val) Bercovici, CTO of Soli...
Regulatory requirements exist to promote the controlled sharing of information, while protecting the privacy and/or security of the information. Regulations for each type of information have their own set of rules, policies, and guidelines. Cloud Service Providers (CSP) are faced with increasing demand for services at decreasing prices. Demonstrating and maintaining compliance with regulations is a nontrivial task and doing so against numerous sets of regulatory requirements can be daunting task...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Successful digital transformation requires new organizational competencies and capabilities. Research tells us that the biggest impediment to successful transformation is human; consequently, the biggest enabler is a properly skilled and empowered workforce. In the digital age, new individual and collective competencies are required. In his session at 19th Cloud Expo, Bob Newhouse, CEO and founder of Agilitiv, drew together recent research and lessons learned from emerging and established compa...