HStreaming Launches Most Scalable Real-Time Data Processing Platform

HStreaming LLC announced today at Hadoop Summit the launch of the most scalable real-time data processing platform powered by Hadoop. The software allows companies to realize the full value of massive data in real-time -- to process, analyze, and act on data before it becomes stale. HStreaming provides real-time complex event processing (CEP) allowing customers to manage their full big-data life cycle on a single platform powered by Hadoop.

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"Providers that are bringing to market products that combine event-driven and parallel-processing, give companies the tools to unlock their big data potential in real-time.” says Marcus Collins, Research Director at Gartner.

Hadoop Summit 2011, Santa Clara, CA, (PRWEB) June 29, 2011

HStreaming LLC announced today its launch of the most scalable real-time data processing platform. The software allows companies to realize the full value of massive data in real-time – to process, analyze, and act on data before it becomes stale. HStreaming provides real-time complex event processing (CEP) allowing customers to manage their full big-data life cycle on a single platform powered by Hadoop. HStreaming can be visited today at the Hadoop Summit, booth #8.

Big Data Challenge
Companies face new challenges due to the scale of machine-generated data, data complexity, and requirements to react timely to information before the window of opportunity closes. “Companies come to us with the need to act in milliseconds to seconds on massive data volumes – often terabytes per day.” explains Jana Uhlig, CEO of HStreaming. “Typical examples include location information, sensor data, or log files when the traditional model of store-and-process-later is not fast enough for such data volumes. Companies need to react promptly to sensor readings or analyze web logs as they are generated because that type of information becomes quickly obsolete. Converting such massive data into correct and timely actions was previously very difficult and in many cases required expensive custom-built systems.”

What Makes HStreaming Unique?
HStreaming‘s platform is powered by Apache Hadoop, a leading software platform for big data processing. Apache Hadoop excels at batch processing but lacks real-time capabilities. HStreaming brings real-time processing and easy-to-use Extract-Transform-Load (ETL) capabilities to Hadoop, making it possible for companies to pre-process, ETL, store, analyze, post-process, and archive their data on a single consolidated platform. This full integration is unique to the market, significantly driving down total cost of ownership for enterprise-scale real-time analytics.

HStreaming’s tight integration also means that customers can reuse all tooling, languages, and even existing queries from batch-processing mode for real-time processing as well. HStreaming integrates well with other Hadoop technologies such as Pig, HDFS, HBase, Zookeeper, and existing distributions such as Cloudera’s.

HStreaming is architected to solve the challenge of data explosion. HStreaming software scales to hundreds of machines, making it the most scalable real-time data processing platform on the market. For example, a cluster of only 16 machines can process and analyze 16 million events per second. “Scalability is demanded even by customers who don’t deal with big data yet. They see their data volume grow exponentially and will only commit to technologies with the ability to carry them forward through that data expansion.” says Jana Uhlig.

Quote from a Leading Industry Analyst
Marcus Collins, Research Director at Gartner says, “The adoption of an event-driven paradigm and the analysis of data in motion will enable enterprises to make accurate decisions more quickly. This greater speed means that enterprises are better able to see and react to changes in the business environment and therefore gain a competitive advantage over organizations that only perform retrospective analysis of historic data. Solutions combining an event-driven paradigm with the parallel-processing capabilities of Apache Hadoop have the potential to disrupt traditional data management that until now has assumed an inverse relationship between speed of decision making and processing complexity. Providers that are bringing to market products that combine event-driven and parallel-processing, give companies the tools to unlock their big data potential in real-time.”

Products and Pricing
HStreaming offers two products: HStreaming Cloud and HStreaming Enterprise. HStreaming Cloud is a fully-managed cloud appliance that allows customers to launch analytical jobs in minutes. HStreaming Cloud’s beta is available at http://www.hstreaming.com/register starting at $0.34 per machine hour. HStreaming Cloud also offers an array of ready-made job templates and stream connectors. HStreaming Enterprise offers enterprise licensing, consulting, and integration services for customers to run their infrastructure in house.

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About HStreaming
HStreaming LLC, based in Chicago, IL, provides the most scalable real-time data processing platform powered by Hadoop. HStreaming enables organizations to realize the full value of data by processing, analyzing, and acting on massive data correctly and in real-time. HStreaming adds real-time processing and ETL capabilities to Apache Hadoop consolidating the full big-data life cycle including pre-processing, ETL, storage, analytics, post-processing, and archival on a single platform. HStreaming offers two products: HStreaming Cloud and HStreaming Enterprise. For more on HStreaming, please visit http://www.hstreaming.com.

HStreaming is a trademark of HStreaming LLC. Hadoop, Pig, HBase, and Zookeeper are trademarks of Apache Software Foundation. All other company and product names may be trade names or trademarks of their respective owners.

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Contact

  • Jana Uhlig
    jana.uhlig@hstreaming.com
    7738882058
    Email