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Exegy Intoduces Journal and Replay For Tick Data Analysis

Ticker plant vendor Exegy has released its Journal and Replay system, designed to allow regulators, compliance groups, quants, and technicians to have access to raw tick-by tick data, time stamped to the nanosecond. Journal and Replay allows customers to capture and recreate every trade, quote, order book price, update, halt, modify or cancel sent from…

Q&A: Perseus Telecom’s Jock Percy on Fast Fibre and Formula 1

Low-latency connectivity continues to be an area of spend for most trading firms, and tapping into far markets is one of the focuses. IntelligentTradingTechnology.com caught up with Jock Percy, CEO of Perseus Telecom, to get some insight into the action. Q: Let’s start with an update on the transatlantic link – QuanTA. How’s it going?…

MapR Betas Hadoop on Google’s New IaaS Cloud

Hadoop distributor MapR Technologies has begun a private beta program for its offering running on the Google Compute Engine, that company’s recently announced (still in beta itself) Infrastructure-as-a-Service (IaaS) initiative. At the announcement of GCE – which provides on-demand Linux-based compute nodes, with storage options – MapR demonstrated the integration, completing a one terabyte TeraSort…

Q&A: NovaSparks’ Yves Charles on Doing It All on FPGAs!

FPGAs are growing up and spreading their wings.  Only a couple of years ago, their use for market data handling was considered cutting edge, whereas now it’s almost mainstream.  But what about using them for more complex functionality? IntelligentTradingTechnology.com spoke to NovaSparks CEO Yves Charles on pushing the complexity, and the challenges involved. Q: You…

ScaleOut Addresses Big Data In-Memory Analytics; Adds Multi-Site, Cloud Support

ScaleOut Software has released version 5 of its ScaleOut StateServer in-memory data grid.  For the first time, it supports linking grids across physical sites, including leveraging cloud services – providing an elastic architecture for big data analysis.  Version 5 is currently available for public clouds Amazon Web Services and Windows Azure. “By helping developers and…

Lowering the Latency at SIFMA

The annual SIFMA financial tech expo has just concluded in NYC, and here are a few of the low-latency highlights – from an event that sadly overall looks to be heading for the twilight zone. * Best in show in my book was Zeptonics, launching its ZeptoLink fan-out and electronic patch panel, with port to…

Q&A: CFN’s Mark Casey on Latency Futures, Proximity and Cloud

Time to take the pulse again, here at SIFMA, to get updated on the status quo, and find out what’s coming next. IntelligentTradingTechnology.com got such insight from Mark Casey, President & CEO at CFN Services. Q: Compared to a year ago, where are trading firms focusing in their efforts to align latency reduction with their…

High-Performance Trading Infrastructure on Demand

Financial markets firms can no longer spend what it takes to compete in the “low latency arms race.” The new reality demands high performance to be competitive with peers, but with an emphasis on upfront deployment and ongoing operational costs. High performance is measured not simply in trading execution speed and round-trip latency figures. Those…

Savvis, Hortonworks Partner For Hadoop in the Cloud

Savvis – which offers IaaS, managed hosting and proximity services, with a strong focus on financial markets, has announced a strategic agreement with Hortonworks, a distributor of Hadoop, to offer cloud-based big data solutions to enterprises. The Hortonworks Data Platform will be integrated with the Savvis Symphony suite of cloud services, simplifying the movement of…

AMD, Colfax Gain Cloudera Certification

Colfax’s AMD-based server cluster is now Cloudera certified.  The cluster consists of six Colfax 2U CX2270-N4 servers – each with two AMD Opteron 6200 Series processors – running Cloudera’s distribution of Hadoop. The cluster contains 192 cores. The Colfax cluster and its high core density is designed for customers who are using Hadoop for fast,…