Kirkland, WA, United States of America

Jun Xu

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rubrik, Inc.. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jun Xu - Innovator in Data Management Solutions

Introduction

Jun Xu is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of data management, particularly in the realm of Software as a Service (SaaS) applications. His innovative approach has led to the development of a patent that addresses critical challenges in data backup and management.

Latest Patents

Jun Xu holds a patent for a method titled "Backup of a SAAS application with relational data." This patent describes methods, systems, and devices for effective data management. The method includes obtaining a new snapshot of a relational database from a source computing environment. It involves comparing this new snapshot to a prior snapshot, updating version control columns in response to data changes, and adding new rows to a backup database table as necessary. This innovative approach enhances the reliability and efficiency of data backup processes.

Career Highlights

Jun Xu is currently employed at Rubrik, Inc., a company renowned for its cutting-edge data management solutions. His work at Rubrik has positioned him as a key player in the development of advanced technologies that streamline data operations for businesses.

Collaborations

Jun Xu collaborates with talented professionals such as Jonathan Carlyle Derryberry and Nikita Awasthi. These collaborations foster an environment of innovation and creativity, contributing to the advancement of data management technologies.

Conclusion

Jun Xu's contributions to data management through his patent and work at Rubrik, Inc. highlight his role as an influential inventor in the tech industry. His innovative methods for managing relational data are paving the way for more efficient data solutions.

Profile summary based on public USPTO records.
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