Princeton University Neuroscience Institute Deploys FileTek StorHouse

FileTek, Inc. announced that the Princeton University Neuroscience
Institute, a stimulus for teaching and research in neuroscience and related
fields, and an impetus for collaboration and education in disciplines ranging as economics and philosophy, has evaluated, selected and
deployed a StorHouse active archive system.

The Princeton Neuroscience Institute will use StorHouse to secure, protect, and
provide access to its growing volume of information assets, including laboratory research and user data.

By leveraging the StorHouse capability to blend disk and
tape as part of scaled-out NAS storage with the many StorHouse automated data
and storage management features, the institute will
benefit from lower storage management costs and ensured information delivery to the research and user communities it serves.

"The Princeton
Neuroscience Institute is committed to providing its user community with fast,
reliable – yet affordable – access to its growing archive of research data. To
that end, we were looking for a cost-effective approach to store and manage
this data while safeguarding its availability, accessibility, and scalability
for the long-term. We also wanted a system that eliminated lengthy restore
procedures and stressed ease of use," commented Randee Tengi, system administrator
at the Princeton Neuroscience Institute. "We chose StorHouse because it satisfies all these key objectives."

"With StorHouse, FileTek supports scalable
Big Data Storage that enables customers such as the Princeton Neuroscience
Institute to win the ‘race to the bottom’ for storage costs while achieving
enterprise-class data assurance and access," remarked Chuck Whinney,
VP of customer support, at FileTek. "By
embracing the StorHouse active archive strategy, the Princeton Neuroscience
Institute is able to better control IT costs, lower system administration and
operational overhead, and ensure the long-term integrity of its data through
StorHouse self-monitoring and self-healing features. Furthermore, StorHouse
transparency and scalability facilitate future system expansion to more data
types as the need arises."