IBM Acquires M&A Client, InfoDyne, to Create World-Class Platform for Market Data Delivery

Apr 29, 2008

IBM Acquires M&A Client, InfoDyne, to Create World-Class Platform for Market Data Delivery

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IBM (NYSE: IBM) today announced it has acquired M&A client, InfoDyne Corporation, a privately held software company based in Park Ridge, Illinois. InfoDyne is a leader in high–speed platforms and data feed connectors which combined with IBM’s WebSphere technology will help clients extend transactional integrity to low–latency environments. Financial details were not disclosed.

InfoDyne provides software that is designed to enable today’s highly competitive trading firms and other venues to process exploding data volumes at microsecond response rates. InfoDyne’s market data delivery platform and rich feed handler portfolio take data from hundreds of sources and deliver it in a standardized format, helping customers to control escalating data feed costs.

Despite this sixfold increase in data volume, today’s traders insist that their information technology (IT) infrastructure provide nearly instantaneous execution speeds and data flow. These low–latency environments are constantly monitored to ensure that the raw data and analytics required to support the trading desks are delivered quickly and reliably. Market data is the fuel for these environments, and firms are demanding high–speed systems that can complete all components of a complex evaluation and potential transaction in a millisecond or faster.

InfoDyne complements IBM’s broad set of software products for the financial markets industry, for example, WebSphere Front Office for Financial Markets, WebSphere MQ Low Latency, and WebSphere DataPower appliances. Together, the IBM and InfoDyne offerings provide a high–speed market data delivery platform designed to help accelerate the speed and increase the throughput and reliability of financial data transmission. Additionally, WebSphere eXtreme Scale provides an in–memory grid across multiple servers with transactional integrity, transparent fail–over, and constant response times.

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