LOS GATOS, Calif., Sept. 23, 2016 -- 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-Time Analytics" category. As further evidence of the timely relevance of solutions like StreamAnalytix, Readers' Choice respondents also rated real-time streaming 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 exhibiting the capabilities and benefits of its StreamAnalytix product at the conference at booth number 751.
"It's an honor 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 believe this is a recognition that
StreamAnalytix allows large enterprises to easily leverage popular open source technologies like Apache Spark, Apache Kafka, Apache Storm and Hadoop/ NoSQL by dramatically lowering the skill barrier to deliver transformative real-time applications swiftly. With an elegant user interface and comprehensive 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."
"Datanami's readers are at the forefront of the data science community. By taking part in our Readers' Choice program, our well-informed community is rewarding the organizations that are making the greatest impact 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 tremendous 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 streaming 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 claim validation, credit-line management, call center analytics, business activity monitoring, and log analytics
For more information about StreamAnalytix, visit http://streamanalytix.com. For more information about Datanami's award program and to view the full list of winners, visit https://www.datanami.com/2016-datanami-awards-readers-editors-choice/
Datanami is one of the premier online portals covering big data, produced by Tabor Communications, Inc. (TCI) a leading international media, advertising and communications company dedicated to covering advanced computing technologies for science, research and business. Receive a complimentary subscription to the weekly Datanami e-newsletter by visiting datanami.com/subscribe. View daily news at www.datanami.com
StreamAnalytix, an Impetus Technologies product, enables enterprises to analyze and respond to events in real-time at big data scale. It provides enterprises with the advantages of an open-source based, enterprise-grade platform for rapid and easy development of real-time streaming analytics applications. StreamAnalytix is designed to quickly build and deploy streaming analytics applications for any industry vertical, any data format and any use case. Now featuring support for Apache Spark Streaming, in addition to the current support for Apache Storm, StreamAnalytix is currently the industry's only platform that provides the powerful advantage of offering users with multi-engine support and the flexibility to match the choice of a stream processing engine to the requirements of a particular use case.