The
emergence of the Internet of Things (IoT) and the exponential growth
of potentially valuable but elusive data is now a well-known
phenomenon. Constant data emission by sensors, machines, vehicles,
mobile phones, social media networks, and other real-time
analytics sources are compelling organizations to rethink
their data and analytics strategy beyond batch-processing. They are
increasingly aware of the need to have access to the latest
information to gain a competitive advantage.
As
a result, enterprises are moving to add real-time
analytics engines or platforms to their Big Data architecture
stack. To do that, they have two sub-optimal options - expensive,
proprietary, commercial products or they can "Do-it-yourself"
using raw Open Source. Enterprises now have a third more favorable
option for real-time
analytics streaming data application development -
StreamAnalytix.
StreamAnalytix
is a platform that offers the best of both worlds by leveraging the
strengths and alleviating the weaknesses of each.
Open
source community is riding a wave of cutting edge innovation,
however, building solutions using open source from scratch may be
expensive and time-consuming. StreamAnalytix eliminates the problems
of working with native open source and provides a platform powered by
open source engines with enterprise-grade features, flexibility,
extensibility, ease-of-use, and full enterprise class support.
StreamAnalytix
rides right on the top of any standard Hadoop stack and also works
well with other NoSQL options like Apache Cassandra and Oracle NoSQL
DB. Other choices for persistence and indexing can be easily
integrated. For more information please visit us at :
www.streamanalytix.com
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