StreamBase announces Hadoop integration for real-time analytics for big data
First Published 20th June 2012
StreamBase CEP and LiveView to offer scalable, real-time analytics on streaming log event flows
Mark Palmer, CEO Streambase Systems
"The missing piece of the Big Data story was real-time, and now it's here."
New York - StreamBase Systems has released an integrated offering between StreamBase CEP and StreamBase LiveView, and the Hadoop stack, creating an integrated enterprise-class platform for online, real-time analytics against streaming big data. The integration is based on Flume, the data collection network for Hadoop, and is intended to provide a solution for online analytical applications such as real-time fraud detection, real-time monitoring, and real-time social sentiment analysis.
"Flume was designed to deliver the power of Big Data and Hadoop in real-time," said Amr Awadallah, Cloudera CTO and co-founder. "Connecting Flume, StreamBase CEP and LiveView has resulted in a real-time computing solution for analyzing streaming log file data and creating new Big Data applications that provide real-time insights."
"The missing piece of the Big Data story was real-time, and now it's here," said Mark Palmer, CEO of StreamBase. "StreamBase CEP and LiveView provide an enterprise-class real-time analytics solution for serious event processing applications. Already proven as the most robust real-time platform in the capital markets space, our real-time big data capabilities promise to bring real-time analytics from Wall Street to Main Street."