1. Data SheetIBM Software
An open invitation
to beta-test IBM
InfoSphere Streams
Make your voice heard—try the new
3.2.2 beta version
Maybe your organization is ready to deploy streaming analytics. Maybe
you’re still unsure and are looking for a way to decide your next steps.
Or perhaps you already use streaming analytics and are always on the
lookout for the newest advancements.
Whatever your reason, IBM invites you to join the IBM® InfoSphere®
Streams V3.2.2 beta program and try out the new beta software free of
charge. Discover for yourself how easy it is to deliver streaming data
and insights to the analysts and decision makers who need them. Find
out what millisecond response feels like.
Taking the beta test public
This first-of-a-kind IBM open beta is your opportunity to influence the
InfoSphere Streams product road map and help ensure that the features
most important to your organization are included in the next release.
Organizations around the world use InfoSphere Streams to analyze data in
motion—and the new version takes a big leap forward in business agility
and consumability, enabling Microsoft Excel functions for streaming
data and further extending application high availability.
IT administrators will like the simpler setup and management in the
V3.2.2 release as well as the new comprehensive monitoring capability.
Architects and developers will appreciate added capabilities such as
foundational enhancements and updates to analytic accelerators
and toolkits.
Highlights
• Help steer the direction of big data
streaming analytics
• View the path of your business through
the windshield, not a rearview mirror
• Easily access streaming data through
business tools such as Microsoft Excel
• Experience simple setup, high
availability, and comprehensive
monitoring and management
2. IBM Software
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Apply InfoSphere Streams to your
own use case
Data-driven demands are everywhere. Healthcare providers
must correlate data and perform complex real-time analytics
to better serve patients. New imperatives for utilities include
analyzing data from smart grids and smart meters. Telecom
companies want to better target their marketing, and risk
control is more essential than ever to financial firms.
Governments need new insights to cope with rapid
urbanization and citizen security.
Data Sheet
These diverse organizations have something in common:
nearly unlimited potential to solve today’s challenges by
harvesting all data, all the time with streaming analytics.
Now you can capitalize on the InfoSphere Streams beta
program to find out how stream computing can help your
enterprise. For example:
• Prevent data overload: Global voice, data and Internet
services provider Sprint analyzed real-time data and
improved analytic capability 90 percent.1
• Respond faster: A telecommunications provider in India
reduced analysis processing time from 12 hours to one
minute and now analyzes 7 billion call detail records
(CDRs) per day.
• Improve decision making: A petroleum company
avoids icebergs by analyzing data from satellites, underwater
drones and surface wind/wave sensors—and expects to
save USD1 billion.
• Continuously adapt to change: A financial services client
using InfoSphere Streams is now able to model risk
throughout the day instead of quarterly.
• Enhance developer agility: An integrated development
environment with visualization and drag-and-drop interfaces
helped another client reduce development time and costs
by 45 percent.
• Communicate quickly: The Wimbledon Championship
delivers rich content in real time to a huge global audience of
tennis fans with the help of InfoSphere Streams.2
• Save lives: Emory University Hospital is testing a system
that collects and analyzes streaming data from patients’
bedsides—such as respiration, brain waves and blood
pressure—to identify patterns in physiological data and
alert physicians to possible problems. The system collects
and analyzes more than 100,000 real-time data points
per second.3
InfoSphere Streams enables you to capture massive volumes
of continuously changing data and analyze it to support
real-time decisions. You can create predictive analytics based
on new unstructured data sources such as video, audio, sensor,
geospatial, satellite and more.
Experience these InfoSphere Streams beta highlights
for yourself
• Streaming to Excel: Users can identify and access
streaming data in less than 10 minutes, enabling analysis
and visualization on continually updating data with the full
power of Excel. Using the InfoSphere Streams for Excel
data capability enables faster time to analysis and gives
business users more direct control over the data analysis
process. You can display the streaming data directly in
Excel by dragging and dropping it onto a worksheet. The
streaming data continually updates in the worksheet and
can be analyzed and visually represented through
features readily available in Excel.
• Automated high availability: Administrators can configure
InfoSphere Streams for resiliency in less than 60 minutes,
without specialized high-availability (HA) skills, and use a
single console to install and manage multiple instances
with common users and hosts. Dependencies on shared
file systems and recovery databases for high availability
are not required; you can monitor system resources for
errors and automatically fail over to standby management
services. Plus, you can store configuration information in
a new or existing Apache ZooKeeper ensemble or use an
embedded copy for development or test environments.
• Application resiliency: With a simple annotation and
HA-compliant operators, a developer can guarantee all
data is processed.
3. IBM Software
3
Go beyond open source limitations
InfoSphere Streams is years along in its development curve—so
support, reliability and add-on analytic assets are exemplary.
Performance is better than open source, too.4
In a direct
comparison of InfoSphere Streams and Apache Storm in a
real-world email classification use-case scenario, the InfoSphere
Streams infrastructure for streaming analysis significantly
outperformed Apache Storm in several ways:
• More efficient: Consumes 5.5 to 14.2 times less CPU time
• Faster: 2.6 to 12.3 times greater throughput
• Scalable: Performance advantage increases as scale increases
This benchmark study, conducted by teams at the IBM
Research Dublin Lab and IBM Software Group Europe, found
that InfoSphere Streams bested Apache Storm in terms of
throughput while simultaneously consuming less CPU time.5
Further, it showed that the throughput and CPU time gaps
widen as data volume, degree of parallelism and number of
processing nodes grew to four nodes and 8-way parallelism.
InfoSphere Streams handles heavy loading better, so it can
make more effective use of available CPU capacity. Read more
about the tests here: https://developer.ibm.com/
streamsdev/2014/04/22/streams-apache-storm
Get into the stream
Data is all around us—from social media feeds to call data
records to videos—but with so many types of data coming
from such varied sources, it can be difficult to make sense of
this rich resource. Regardless of industry, organizations need
to incorporate these new types of data into business decisions
to remain competitive. Business leaders must infuse streaming
analytics into their existing processes and trust that they can
do so with high availablity, no data loss and high performance.
Technical teams need solutions that are resilient, dynamic and
simple to manage.
InfoSphere Streams V3.2.2 is designed to more than meet
these challenges. Now is the time to provide input into its
future. Start using the beta code, test it, try it out and tell us
what you like and what you would change. Your feedback is
important and can have a real impact.
For more information
To register for the InfoSphere Streams beta program, visit
IBM developerWorks® at ibm.com/developerworks/
community/groups/community/streams322beta
To learn more about InfoSphere Streams and other IBM big
data and analytics technologies, please contact your IBM
representative or IBM business partner, or visit:
• ibm.com/software/products/en/infosphere-streams
• ibm.com/software/data/infosphere/stream-computing/
overview.html
• ibm.com/software/products/en/category/bigdata
Additionally, IBM Global Financing can help you acquire the
software capabilities that your business needs in the most
cost-effective and strategic way possible. We’ll partner with
credit-qualified clients to customize a financing solution to
suit your business and development goals, enable effective
cash management, and improve your total cost of ownership.
Fund your critical IT investment and propel your business
forward with IBM Global Financing. For more information,
visit: ibm.com/financing
Data Sheet
InfoSphere Streams is designed to deliver superior streaming analytics
performance and help lower total cost of ownership.
Faster results
with a smaller
hardware footprint
Do more with less.
Market-leading
development
environment
Speed time to market.
Intelligent
optimization and
centralized
management
Reduce operational
complexity.
