Bothell, WA, United States of America

Pavel Labovich


Average Co-Inventor Count = 3.2

ph-index = 3

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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7 patents (USPTO):Explore Patents

Title: Pavel Labovich: Innovator in Database Technology

Introduction

Pavel Labovich is a notable inventor based in Bothell, WA (US), recognized for his contributions to database technology. He holds a total of 7 patents, showcasing his innovative approach to solving complex problems in data management.

Latest Patents

Among his latest patents is a system and method for switching from a consistent database to an eventually consistent database replica in real time while preventing reads of past versions of the data. This patent provides a solution for consistent reads in a global database that is replicated to one or more global clones. A state machine is implemented and executed independently for each project in each region. Based on the state of a project when a read request is received, the read request will be served by the global database, served by the global clone, or ignored as an invalid request. Another significant patent focuses on maintaining a constant load on a global database after regionalization. This innovation ensures that the global database can handle fallbacks when requests to clones fail, thereby optimizing performance and reliability.

Career Highlights

Pavel has worked with prominent companies such as Amazon Technologies, Inc. and Google Inc. His experience in these leading tech firms has significantly influenced his innovative thinking and approach to database solutions.

Collaborations

Throughout his career, Pavel has collaborated with talented individuals, including Colin Williams and Yuly Suvorov. These partnerships have contributed to the development of groundbreaking technologies in the field.

Conclusion

Pavel Labovich's work in database technology exemplifies the spirit of innovation. His patents and career achievements reflect a commitment to advancing the efficiency and reliability of data management systems.

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