Discussed here on IBM's website.
and from the press release on IBM's Haifa Research Lab (bold text is my highlighting) :
...IBM announced the availability of WebSphere Front Office for Financial Markets, a flexible, high-throughput, low-latency platform. The WebSphere Front Office platform is built on an award-winning portfolio of IBM middleware products that provide an integrated environment optimized for high-volume trading.
Several innovative technologies from the IBM Research Lab in Haifa enabled the platform's performance characteristics and the high availability support including detection, notification and recovery.
"This is IBM's first appearance in the financial front office space for stock exchanges and large institutional customers, which is characterized by extreme data rates measured in hundreds thousands messages per second, and by sub-millisecond delivery latency requirements."
The Reliable Multicast Messaging (RMM) technology and TurboFlow technologies have enabled IBM to address these performance goals and to build an infrastructure that supports the extremely challenging demands of front office financial customers. In addition to high throughput and low latency, RMM is characterized by significant scalability that allows the delivery of financial information to multiple traders at the same time.
Combined with the ITRA (Inter-Tier. Relationship architecture) technology it allows for subsecond data stream failover.
Considering that OPRA (options) data is forcasted to be coming in at 456,000 messages per second, it would be interesting to see if this new product could handle it.
An article in the Inside Market Data newsletter make specific mention of competition against Reuters and Wombat.
©2006 Marc Adler - All Rights Reserved
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3 comments:
They came in to our shop with this stuff- it's frightening how naive they are thinking that enough money and smarts (and yes they do have a smart bunch working on this) can overcome the enless nuances of market data. I just don't see how you can launch an entire platform, big bang, with no real world expereince guiding the development fo any of it. They have next to no market data expereince in the entire group from what I could tell. Just a lot of dough and a buiness card.
Maybe I just don't get it?
This is pretty typical of any large organisation like IBM to think that just by throwing money at the problem domain they can come up with a compelling product. This is also the same of Microsoft as well, they have some pretty cool technology and smarts but pratical experience is almost zero, no wonder they are having a difficult time getting some serious penetration into the finance vertical.
Any pointers to documentation as to what its like to program against market data in their framework? I can't google up some API docs :(
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