Hadapt, a new startup out of Yale University, launches to focus on making Hadoop more usable for more people.
, a new startup
that focuses on the open source Hadoop technology and solutions for Big
Data and big analytics has emerged on the scene.
At the GigaOM Structure Big Data conference
here on March 23, Hadapt's CEO and co-founder Justin Borgman introduced
the new company and the Hadapt platform as "the adaptive analytical
platform for big data. It's the first analytical database designed for
the cloud environment."
Borgman said the company comes out of work the founders started at
Yale University. In addition, Borgman announced initial financing and
patent-pending innovations for high performance analytics across
structured and unstructured data in private and public cloud
Founded by Borgman, Daniel Abadi Ph.D., 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,
Borgman said 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 Hadoop open-source parallel data
processing framework. 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,
the company said. 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," Borgman said in a statement. "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. 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