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BULKOWSKI BRIAN J

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    165,502
  • Filing trend
    0.0%
About

BULKOWSKI BRIAN J has a total of 12 patent applications. It increased the IP activity by 0.0%. Its first patent ever was published in 2012. It filed its patents most often in United States. Its main competitors in its focus markets computer technology and digital networks are JESS MARTIN, TINTRI INC and OSHINS JACOB.

Patent filings in countries

World map showing BULKOWSKI BRIAN Js patent filings in countries
# Country Total Patents
#1 United States 12

Patent filings per year

Chart showing BULKOWSKI BRIAN Js patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Bulkowski Brian J 12
#2 Srinivasan Venkatachary 10
#3 Gooding Andrew 4
#4 Srinivasan Srini V 1

Latest patents

Publication Filing date Title
US2019196918A1 Methods and systems of operating a database management system dmbs in a strong consistency mode
US2019251006A1 Methods and systems of managing consistency and availability tradeoffs in a real-time operational DBMS
US2017357687A1 Methods and systems of managing deletes in a database node of a nosql database
US2018004777A1 Data distribution across nodes of a distributed database base system
US2016239529A1 Methods and systems of splitting database indexes and digests
US2017031597A1 Methods and systems of garbage collection and defragmentation in a distributed database
US2015127625A1 Cluster-node load balancing in a distributed database system
US2015161016A1 Method and system of self-managing nodes of a distributed database cluster with a consensus algorithm
US2015113314A1 Method and system of implementing a distributed database with peripheral component interconnect express switch
US2015019562A1 Method and system of mapreduce implementations on indexed datasets in a distributed database environment
US2014108415A1 Method and system of mapreduce implementations on indexed datasets in a distributed database environment
US2012278293A1 Real-time transaction scheduling in a distributed database