Radical Simplicity at Scale, Anywhere
Public sector organizations have unique data challenges. Security for sensitive data, compliance requirements (FedRAMP, CJIS), mandates to move to the cloud, and an explosion of files and data volumes have resulted in management and operational challenges for the public sector.
The need to manage this file data securely, at scale, and with freedom across clouds is accelerating now more than ever.
The power of the Qumulo file data platform
With Qumulo, public sector organizations can leverage both legacy and cloud-native applications and services to accelerate workflows, become more productive, and be more responsive to their constituents.
See how our public sector customers are accelerating innovation with Qumulo.
A national energy lab makes better decisions with its data
The National Renewable Energy Laboratory is the U.S. Department of Energy’s primary national laboratory for renewable energy, and energy efficiency research and development.
With the Qumulo file data platform and its real-time file analytics, the NREL team gains better insight into their data, and in turn is able to focus more effectively on their mission to drive innovation in energy efficiency and renewable energy technologies.
School district chooses Qumulo for video surveillance to keep students and staff safe
The Weber School District (WSD) is a public school district serving more than 30,000 students in grades K-12. The school district includes more than 50 schools and buildings with more than 1,200 security cameras.
With Qumulo, WSD created a centralized surveillance system that reduced the workload of school administrators. Their Qumulo solution also allows them to retain data longer as well as easily increase the amount of data being stored.
A research unit supports large and growing scientific research workloads
As a research unit at the University of California, the San Diego Supercomputing Center (SDSC) uses its supercomputers to run advanced computation and all aspects of big data storage and analysis, including data integration, performance modeling, data mining, and predictive analytics.
After partnering with Qumulo, SDSC doubled the size of its data cluster while lowering operational costs.