Hadapt has announced initial financing and “patent-pending innovations” for 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 CEO.
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.
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