Thomson Reuters Selects StreamBase CEP for Elektron High-Speed Cloud, Quant Platform, Apps, and FX

First Published Wednesday, 18th May 2011 02:04 pm from StreamBase Systems : Mark Palmer

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/>Today we're excited to report that Thomson

Reuters has selected StreamBase as its complex event processing

(CEP) platform for a broad set of initiatives. href="http://www.youtube.com/watch?v=70ax6F_vrHY"

target="_self">CEP "flips the

database on its head" by providing the ability to

monitor, analyze, and act on events

happening in real-time, rather

than looking in the rear-view-mirror of what happened

yesterday, last week, or last month. CEP powers real-time, big

data applications on Wall Street including high frequency

trading, pre-trade risk management, surveillance, market data

management, smart order routing, pricing, settlement, real-time

P&L, monitoring - applications from front to back office

on Wall Street.

Why did Thomson Reuters

partner with StreamBase for CEP? Initially, they announced four

reasons:

StreamBase

in Elektron Brings CEP to Thomson Reuters' High-Speed

Cloud

The StreamBase platform

lies at the heart of a new generation of real-time, automated

applications on Wall Street. As the use of CEP continues to grow,

our customers increasingly ask to deploy some of their

applications in the cloud. They want their automated processing

to happen as close to the exchange as possible for the lowest

possible latency, and they want secure and reliable access to

their market data.

Thomson Reuters announced

that they will provide StreamBase CEP in href="http://thomsonreuters.com/products_services/financial/financial_products/a-z/elektron/"

target="_self">Elektron, their open, global,

ultra-high speed and resilient network for the financial

industry. By adding StreamBase CEP to Elektron, Thomson

Reuters is creating the industry's only platform that includes

comprehensive real-time and historical data, high capacity

network connectivity, managed hosting services, and CEP for rapid

application development and strategy deployment.

The First End-to-End Quant Platform for

Back Testing, Algorithmic Development and

Deployment

Although StreamBase

is all about acting on what's happening

now, the knowledge of what happened

yesterday is essential for any automated

system. History is essential to discover trends and patterns in

event streams. History is essential to back test

automated strategies. History is essential to gain perspective on

real-time actions at execution time. Over 90% of applications

that use StreamBase also use some form of historical event data

management.

Thomson Reuters will integrate

StreamBase with the Enterprise Platform for Velocity Analytics,

which integrates all Thomson Reuters content, including tick

history, reference data, corporate actions, condition code

processing and cancellation and correction messages. It also

brings together many disparate third party applications including

data management solutions, EMS, OMS, price discovery, back

testing, trade surveillance and low latency execution

capabilities across the quantitative research and trading

workflow.

By integrating Velocity Analytics

with StreamBase CEP, Thomson Reuters has created the

first end-to-end quant platform for back testing, algorithmic

development and deployment.

Thomson Reuters Applications

"Powered By"

StreamBase

Thomson Reuters will

deliver a suite of applications that are "powered by" StreamBase

CEP to address low-latency workflow. CEP inside will

provide Thomson Reuters clients the benefit of time to market

usually associated with turnkey solutions, while at the same time

allowing full customizability of the underlying application. One

application Thomson Reuters already provides is

the href="http://streambase.typepad.com/streambase_stream_process/2011/05/surveillance-a-new-source-of-innovation.html"

target="_self">real-time

surveillance application from

Redkite financial which is based on the StreamBase CEP

platform.

StreamBase

and Thomson Reuters FX Solutions

The FX markets have rapidly emerged as an important

market for the capabilities of CEP. Thomson Reuters announced

that StreamBase CEP will complement the existing href="http://thomsonreuters.com/products_services/financial/financial_products/a-z/dealing_aggregator/"

target="_self">Thomson Reuters Dealing Aggregator FX trading

solution, available exclusively to Thomson Reuters

Dealing customers, by providing CEP capability in tandem with the

low latency algo trading platform.

Why did Thomson Reuters choose StreamBase? Mike Powell,

Global Head of Enterprise Real-Time Solutions for Thomson

Reuters, said it this way: "The financial market landscape

continues to evolve rapidly, meaning that nimbleness and time to

market have become essential for market participants. Elektron

empowers our customers to innovate and achieve high performance

through a seamless infrastructure that brings together global

market participants, delivers world-class content and creates a

suite of new added-value services. The combination of

StreamBase's market leading CEP engine together with Elektron

will provide a platform for us to deliver flexible and

sophisticated solutions to our customers faster and more

efficiently."

For StreamBase, we're excited

about the vast resources and capabilities of Thomson Reuters can

provide our customers. We're honored to be selected as Thomson

Reuters' CEP platform of choice - their selection validates our

focused approach to CEP, the ever increasing href="http://streambase.typepad.com/streambase_stream_process/2011/05/on-big-data-real-time-computing-and-twitter.html"

target="_self">importance of the cloud and real-time big

data, href="http://streambase.typepad.com/streambase_stream_process/2010/01/prediction-3-cognitive-physics-will-be-as-important-as-computing-physics-1.html"

target="_self"> the disruption of

simplicity, and the href="http://streambase.typepad.com/streambase_stream_process/2011/04/on-streambase-7-its-breakthrough-usability-and-performance-for-cep-.html"

target="_self">continued need for low latency and

scalability on Wall

Street.

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