StreamAnalytix Honored in 'Best Big Data Product or
Technology: Real-Time Analytics' Category for Giving Users the
Ability to Quickly and Easily Create Streaming Analytics Applications
Impetus Technologies, a big data software products
and services company, today announced that StreamAnalytix™
won a Datanami Editors' Choice Award in the "Best Big Data
Product or Technology: Real-TimeAnalytics" category. As further
evidence of the timely relevance of solutions like StreamAnalytix,
Readers' Choice respondents also rated real-time streamingdata analytics as the No. 1 emerging
technology to watch for in 2016.
Datanami's inaugural Readers' and Editors' Choice
Awards program recognizes the best and the brightest developments
that took place in big data this year in advance of the Strata +
Hadoop World conference taking place next week in New York, New York.
Impetus Technologies will be demonstrate the capabilities and profit
of its StreamAnalytix product at the conference at booth number 751.
"It is an esteem to be recognized by the highly
respected Datanami editors for an Editors' Choice Award," said
Anand Venugopal, head of product for StreamAnalytix at Impetus
Technologies. "We reckon this is a recognition that
StreamAnalytix allows large enterprises to easily leverage popular
open source technologies like Apache Spark, Apache Kafka, ApacheStorm and Hadoop/ NoSQL by dramatically
lowering the skill barrier to deliver transformative real time
analytics applications swiftly. With an elegant user interface
and extensive support for data ingest, streaming ETL, real-time
dashboards and real-time predictive and learning models,
StreamAnalytix augments and strengthens enterprise investments in
their preferred Hadoop platforms."
Determined through a nomination and voting procedure
with input from the global big data community, as well as selections
from Datanami editors, the awards highlight key trends, shine a
spotlight on technical breakthroughs and hold a critical cross
section of the state of the industry. The award program also reflects
the effect that business and technology leaders are having in the big
data and data science communities, and signifies recognition from the
influencers and industry watchers of the big data space.
"Datanami's readers are at the forefront of the
data science community. By taking part in our Readers' Choice
program, our well-indicated community is rewarding the organizations
that are making the greatest effect in advancing the limits of what
big data makes possible," said Tom Tabor, CEO of Tabor
Communications, publisher of Datanami. "The Datanami Readers'
and Editors' Choice Awards send a strong message of support and
appreciation from the whole of the global big data community, and we
are proud to be able to recognize these terrific accomplishments. Our
congratulations go out to all the winners."
StreamAnalytix is the industry's first open-source
based, multi-engine platform that enables users to rapidly and easily
develop real-time streamingdata analytics applications. Used by
leading Fortune 1000 companies that are taking advantage of streaming
data for improved business outcomes, StreamAnalytix has helped
organizations in areas such as Internet of Things (IoT), sensor data
analytics, e-Commerce and internet advertising, security, fraud,
insurance demand validation, credit-line management, call center
analytics, business activity monitoring, and log analytics.
For more information about StreamAnalytix, visit
http://streamanalytix.com.
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