StreamAnalytix (now known as Gathr) 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

LOS GATOS, Calif., Sept. 23, 2016 — Impetus Technologies, a big data software products and services company, today announced that StreamAnalytix (now known as Gathr)™ 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 (now known as Gathr), 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 (now known as Gathr) 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 (now known as Gathr) at Impetus Technologies. “We believe this is a recognition that StreamAnalytix (now known as Gathr) 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 (now known as Gathr) 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 (now known as Gathr) 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 (now known as Gathr) 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

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About StreamAnalytix (now known as Gathr)

StreamAnalytix (now known as Gathr), 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 (now known as Gathr) 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 (now known as Gathr) 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. To learn more, visit: or write, and follow us on Twitter and LinkedIn.