Renton, WA, United States of America

Upendra Govindagowda


Average Co-Inventor Count = 7.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Upendra Govindagowda: Innovator in Database Technology

Introduction

Upendra Govindagowda is a notable inventor based in Renton, Washington. He has made significant contributions to the field of database technology, holding three patents that enhance the efficiency and reliability of distributed transactions.

Latest Patents

His latest patents include innovative methods for increasing commit times at database shards to implement consistency and isolation for distributed transactions. One of his patents describes a system where clock times are stored at nodes of a database system, which are utilized to provide access to database data using Multi-Version Concurrency Control (MVCC). This method allows for the determination of snapshot times upon receiving access requests, ensuring that the clock time is updated accordingly to maintain data integrity. Another patent focuses on the distributed execution of transactions across shards of scalable database tables. This invention evaluates instructions against metadata to optimize the assignment distribution of computing resources, thereby enhancing transaction commit protocols.

Career Highlights

Upendra currently works at Amazon Technologies, Inc., where he applies his expertise in database systems to drive innovation. His work is pivotal in developing scalable solutions that meet the demands of modern data processing.

Collaborations

He collaborates with talented individuals such as Anand Kumar Thakur and David Charles Wein, contributing to a dynamic team environment that fosters innovation.

Conclusion

Upendra Govindagowda's contributions to database technology through his patents reflect his commitment to advancing the field. His work at Amazon Technologies, Inc. continues to influence the way distributed transactions are managed, ensuring efficiency and reliability in data systems.

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