Impetus Releases StreamAnalytix

LOS GATOS, Calif., Feb. 17 — Impetus Technologies, a sponsor at the Strata + Hadoop World event in San Jose, CA and a leader in Big Data solutions and services, announced the general availability of StreamAnalytix — an enterprise class streaming analytics platform. The product is built over a proven open source stack including Apache Storm, Kafka and Hadoop for performing real-time analytics on streaming data.

StreamAnalytix allows enterprises across industry verticals to quickly and reliably take into production a wide range of streaming data applications. It enables use cases in areas such as the Internet-of-Things (IoT), sensor data analytics, e-commerce and Internet advertising, security, fraud, insurance claim validation, credit-line-management, call center analytics and log analytics. It also enables enterprise IT and business transformation with horizontal capabilities like Streaming ETL to speed up slow batch processes to near-real-time.

StreamAnalytix works with all leading Hadoop distributions to ensure that enterprise customers using any Hadoop vendor can use this platform and ingest streaming data into Hadoop, i.e. HDFS and HBase. The extensible and open design of StreamAnalytix provides enterprises with the flexibility to integrate any input data source and any target NoSQL data store of choice with very little integration effort.

“We have created StreamAnalytix in response to clear demand from large enterprises for an open source based approach to real-time streaming analytics. It is a platform that offers significant time-to-market acceleration with out-of-the-box enterprise class manageability, reliability, usability and support. The open source foundation of the product lets enterprises stay future-proof by being plugged-in to the steady stream of innovation from the worldwide open source community. StreamAnalytix thereby delivers the best of both worlds — enterprise class and open source,” says Praveen Kankariya, Founder and CEO of Impetus Technologies, the company behind StreamAnalytix.