Impetus Technologies Named a Hot Vendor in Aragon Research’s Streaming Analytics Report
Jul 31, 2017
StreamAnalytix Platform Recognized for Ability to Analyze and Respond to Events in Real-time at Big Data Scale
LOS GATOS, Calif. – July 31, 2017 – Impetus Technologies, a big data software products and services company, today announced it was named a Hot Vendor in Aragon Research’s report “Hot Vendors in AI & Streaming Analytics, 2017.”
Each year, Aragon Research selects Hot Vendors across multiple markets who have interesting, cutting-edge products, services or technologies. This year’s report focused on streaming analytics and highlights the open source-based, enterprise-grade, multi-engine capabilities of StreamAnalytix™ – a real-time stream processing and machine learning platform that offers a Visual Spark Studio for development and life-cycle management of Apache Spark applications in both streaming and batch mode.
The report states, “Enterprises that need a single visual platform that leverages popular open source, Big Data platforms for streaming ETL and advanced analytics, and that is accessible to business and technical users, should evaluate StreamAnalytix from Impetus Technologies.”
Announced in March 2017, the latest version of StreamAnalytix features support for Apache Spark-based batch processing and enriched online and offline machine learning features, helping enterprises maximize the performance of their analytical models and achieve the most favorable business outcomes. The newest version also adds to the stream processing capabilities driven by Apache Spark Streaming and Apache Storm so that data and analytics professionals can now orchestrate and visualize streaming and batch workflows in one unified, powerful platform that enables real-time data ingestion, processing and advanced analytics.
StreamAnalytix now also includes integration with TensorFlow™ – an open source software library for machine learning. This new capability includes a combination of streaming analytics and deep learning to enable a new breed of applications and machine capabilities in industrial IoT, voice analytics and anomaly detection.
StreamAnalytix is available on premise or in the cloud and helps organizations in areas such as streaming ETL, Internet of Things (IoT) and log analytics, real-time smart customer care and churn analytics, real-time fraud and anomaly detection, and predictive maintenance.
“StreamAnalytix is used by leading Fortune 1000 companies because the platform enables the ability to quickly and easily develop complex and high-powered real-time stream processing and machine learning applications in addition to schedulable batch workflows powered by Apache Spark,” said Anand Venugopal, head of StreamAnalytix at Impetus Technologies. “We’re giving business analysts, data scientists and developers access to a platform that can truly transform the way they do business by discovering insights that were never before possible. We’re honored to be recognized as a hot vendor in Aragon Research’s 2017 streaming analytics report because if further validates our strong foothold in the streaming analytics industry.”
About Impetus Technologies
Impetus Technologies is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities and technology expertise. It offers full life-cycle services for big data technology implementations, including technology strategy, solution architecture, proof of concept, production implementation and on-going support to its clients. To learn more, visit: www.impetus.com or write to: firstname.lastname@example.org, and follow us on Twitter: https://twitter.com/impetustech and LinkedIn: https://www.linkedin.com/company/impetus.
Note: Aragon Research does not endorse vendors, or their products or services that are referenced in its research publications, and does not advise users to select those vendors that are rated the highest. Aragon Research publications consist of the opinions of Aragon Research and Advisory Services organization and should not be construed as statements of fact. Aragon Research provides its research publications and the information contained in them "AS IS," without warranty of any kind.