Patents by Inventor Sainath Chowdary Mallidi

Sainath Chowdary Mallidi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210286848
    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.
    Type: Application
    Filed: March 26, 2021
    Publication date: September 16, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Sainath Chowdary Mallidi, Divij Vaidya, Andi Gutmans
  • Publication number: 20210097048
    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
    Type: Application
    Filed: October 9, 2020
    Publication date: April 1, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Xingbo Wang, Sainath Chowdary Mallidi, Andi Gutmans
  • Patent number: 10963512
    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.
    Type: Grant
    Filed: January 20, 2017
    Date of Patent: March 30, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Sainath Chowdary Mallidi, Divij Vaidya, Andi Gutmans
  • Patent number: 10803034
    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: October 13, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Xingbo Wang, Sainath Chowdary Mallidi, Andi Gutmans
  • Publication number: 20180210966
    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.
    Type: Application
    Filed: January 20, 2017
    Publication date: July 26, 2018
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Sainath Chowdary Mallidi, Divij Vaidya, Andi Gutmans
  • Publication number: 20180144004
    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
    Type: Application
    Filed: November 23, 2016
    Publication date: May 24, 2018
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Xingbo Wang, Sainath Chowdary Mallidi, Andi Gutmans
  • Patent number: 9805177
    Abstract: Disclosed are various embodiments of systems, methods, and computer programs that can facilitate processing of large data sets from data sources. Examples of the disclosure can allow a client to perform data processing tasks in computing resources that are external to a data source from which the data is retrieved rather than relying upon the computing resources of the data source.
    Type: Grant
    Filed: September 28, 2015
    Date of Patent: October 31, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Diwakar Chakravarthy, Justin Canfield Crites, Sainath Chowdary Mallidi, Charles Porter Schermerhorn, Patrick Jing Ye