Informatica Vibe Data Stream For Machine Data Plugs Hadoop Into The Internet Of Things

Redwood City, Calif., and New York, Oct. 28, 2013 (GLOBE NEWSWIRE) -- At the Strata Conference + Hadoop World 2013, Informatica Corporation (Nasdaq:INFA), the world's number one independent provider of data integration software, announced a breakthrough new streaming data collection technology, called Informatica Vibe Data Stream for Machine Data, which will greatly simplify big data collection of machine data from many sources and its delivery to Hadoop, and a wide range of other targets, over any geographic boundary.

Informatica Vibe Data Stream for Machine Data makes high-volume, high-velocity and high-scale streaming data collection available, for the first time, and is built on the industry's fastest and highest performing messaging technology. Customers deploying Informatica's easy-to-use and configure, cost-effective Vibe Data Stream for Machine Data software will have a unique and powerful way to deliver holistic operational intelligence across the enterprise by collecting previously difficult to access data.

Informatica Vibe Data Stream for Machine Data is a key new component of Informatica's end-to-end data integration platform, powered by Informatica Vibe, the industry's first and only embeddable virtual data machine (VDM). Informatica Vibe Data Stream uses embeddable Vibe agents to collect data in real-time and stream millions of records per second into big data platforms such as Hadoop and Cassandra. Informatica Vibe Data Stream also streams data directly into Informatica PowerCenter and Informatica CEP, enabling real-time event processing and analytics.

"Vibe Data Stream provides efficient, high-performance streaming data collection from sensors, mobile devices, log files, and generally machine data from the Internet of Things," said Ash Kulkarni, senior vice president and general manager, Data Integration, Informatica. "This technology easily delivers previously difficult to collect data directly to targets in real-time, enabling companies to find deeper insights in this type of machine-generated big data."

Many companies and industries need to efficiently perform high-volume, high-velocity and high-scale streaming data collection over Local Area Network (LAN) and Wide Area Network (WAN) environments - to enable real-time, big data analytics and operational intelligence.

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