IBM announced the availability of "stream computing" software that enables massive amounts of data to be analyzed in real time, delivering fast insights. The new software is called IBM System S, and is available as a part of the InfoSphere product line.
IBM also says it is making System S trial code available at no cost to help clients better understand the software's capabilities. This trial code includes developer tools, adapters and software to test applications.
System S is built for what IBM calls "perpetual analytics"-utilizing a new streaming architecture and breakthrough mathematical algorithms, to create a forward-looking analysis of data from any source-narrowing down precisely what people are looking for and continuously refining the answer as additional data is made available.
For example, System S can analyze hundreds or thousands of simultaneous data streams-stock prices, retail sales, weather reports, etc.-and deliver nearly instantaneous analysis to business leaders who need to make split-second decisions. The software can help all organizations that need to react to changing conditions in real time, such as government and law enforcement agencies, financial institutions, retailers, transportation companies, healthcare organizations, and more.
"System S software is another example of IBM helping clients through our long-term investments in business analytics and advanced mathematics," says Dr. John Kelly, IBM senior vice president and director of IBM Research. "The ability to manage and analyze incoming data in real time, and use it to make smarter decisions, can help businesses and other enterprises differentiate themselves."
IBM also announced the opening of the IBM European Stream Computing Center, headquartered in Dublin, Ireland, which will serve as a hub of research, customer support and advanced testing for what is expected to be a growing base of European clients who wish to apply stream computing to their most challenging business problems.
For more information about System S software, go here.