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NEW HAVEN, Conn., March 23, 2011 /PRNewswire/ -- Hadapt Inc. announces initial financing and patent-pending innovations for high performance analytics across structured and unstructured data in private and public cloud environments.
Founded by Justin Borgman, Daniel Abadi PhD and Kamil Bajda-Pawlikowski, the company has raised initial funding to commercialize inventions around analytical database research in virtualized environments. Co-founders Abadi and Bajda-Pawlikowski led the original research team at Yale University where a prototype was developed and tested. They take on the roles of Chief Scientist and Chief Software Architect, respectively, while Borgman assumes the role of Chief Executive Officer.
The financing enables the company to complete software development for general release later this year. The company's product approach is a full integration of the open source parallel data processing framework, Hadoop. Hadapt is adapting and expanding the Hadoop architecture to bring a more complete SQL interface, a patent-pending Adaptive Query Execution™ capability, and a hybrid storage engine to handle structured as well as unstructured data in a single platform. Adaptive Query Execution™ dynamically load balances queries in virtualized environments and allows analytical workloads to be automatically split between relational database engines and Hadoop to get the best possible performance out of the system.
"Our patent-pending Adaptive Query Execution™ capability is unlike any other offering in the market," explains Borgman. "In testing conducted at Yale University, we were able to document query results 50 times faster than Hadoop with Hive and 600 times faster than Hadoop with HBase," he continues. "Hadapt was born in the cloud and unlike other second generation data warehousing companies, we have optimized our product architecture for big data and big analysis in virtualized environments," concludes Borgman.
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