Mongodb, Inc.

Viam

Eliot Horowitz

Dwight Allen Merriman

Mathias Stearn

David Lenox Storch

Cailin Anne Nelson

Andrew Michalski Schwerin

Cory P Mintz

Geert Bosch

Eric Andrew Milkie

Charles William Swanson

Louisa Berger

Chris Todd Westin

Keith Bostic

John Morales

Michael Cahill

Dan Pasette

Akshay Kumar

Siyuan Zhou

Michael Patrick O'Brien

Daniel William Gottlieb

Thomas Rueckstiess

Eric Robert Daniels

Per Andreas Nilsson

Charles Robert Kalmanek, Jr

Tom Hollander

Therese Avitabile

David Robert Golub

Mehrab Mohammad Hoque

Adinoyi Wisdom Omuya

Mark Benvenuto

Kenneth White

Viet Duc Do

Kevin Albertson

Rostislav Briskin

Craig Geppert Wilson

Max Jacob Hirschhorn

Jonathan Reams

Lucas Hrabovsky

Matt Kangas

Susan LoVerso

Xiangyu Yao

Spencer Jackson

Andrew Michalski

Alyson Cabral

Eric Daniels

Mathias Benjamin Stearn

J Rayvid Rassi

A system and computer implemented method for execution of aggregation expressions on a distributed non-relational database system is provided. According to one aspect, an aggregation operation may be provided that permits more complex operations using separate collections. For instance, it may be desirable to create a report from one collection using information grouped according to information stored in another collection. Such a capability may be provided within other conventional database systems, however, in a non-relational database system such as NoSQL, the system is not capable of performing server-side joins, such a capability may not be performed without denormalizing the attributes into each object that references it, or by performing application-level joins which is not efficient and leads to unnecessarily complex code within the application that interfaces with the NoSQL database system.

Aggregation framework system architecture and method

A database system comprising a database having a dynamic schema and comprising a plurality of data storage nodes; and at least one processor configured to, using an encryption process: manage access to plaintext data stored in the plurality of data storage nodes by users employing at least one client-controlled resource in a client access layer; restrict access to the plaintext data by other users, wherein the other users include users with system administration privileges for the database and administrators of processing resources hosting the database; and manage access to encrypted copies of the plaintext data by the users with system administration privileges for the database such that the system administration privileges do not enable access to plaintext versions of the encrypted copies. A method for managing data security for a database. A database system with a dynamic schema architecture, a client access layer, and an operational database layer.

Systems and methods for client-side and field-level encryption with dynamic schema databases

Systems and methods are provided for managing a distributed database across multiple cloud provider systems. Database elements (e.g., primary, secondary, and/or read-only nodes) are distributed across multiple cloud provider systems. A provisioning component is configured to enable cross-cloud configuration options to specify the manner in which the clusters/replica set members are to be deployed across multiple cloud providers and/or geographical regions.

Cross-cloud deployments

In variants, a fleet management method can include determining information about a device S; sending information to a device S, and operating the device according to the information S(e.g., example shown in FIG.). The fleet management system can function to scalably manage the operation and permissioning of one or more fleets of devices.

Fleet management system and method

A database system comprising a database comprising a plurality of data storage nodes, the plurality of data storage nodes including a primary storage node and a plurality of secondary storage nodes. The database system may also include at least one processor configured to: perform at least one write command to a secondary storage node of the plurality of secondary storage nodes; and perform at least one backup command, at least partially in parallel with the at least one write command being performed to the secondary storage node, of at least some data from a snapshot of data stored in the secondary storage node. A method for performing at least one backup command in a database at least partially in parallel with the at least one write command being performed.

Systems and methods for non-blocking backups

Systems, methods, and computer-readable media provide techniques for on-demand access to object data hosted in distributed object storage. A query is received for the distributed object storage database, wherein the distributed object storage database includes first object data stored in a first data center at a first geographical location, and second object data stored in a second data center at a second geographical location. It is determined that the query is for at least a portion of the first object data stored by the first data center. The query is transmitted to a first computing device in the first data center. Results are received from the first computing device for the query, and the results are provided in response to the received query.

Large scale unstructured database systems

Described herein are embodiments of a database system for performing multi-document transactions. The database system comprises a database comprising a plurality of data storage nodes. The database system receives transactions that access at least two documents stored in the database. The database system generates a transaction identifier associated with the transaction and associates operations in the transaction with the transaction identifier. The database system performs at least part of the transaction on the database and determines whether an error occurred in performing in performing the transaction. When the database system determines that an error occurred in performing the transaction, the database system reverses any performed operations of the transaction. When no error occurs in performing the transaction, the database system outputs a confirmation.

Systems and methods for managing transactional operation

Systems and methods for managing a database back end as a service are described. In some aspects, the described systems and methods provide for a cloud-based resource for servicing a request for data from an application to a remote database and/or a service. In some aspects, the described systems and methods provide for a cloud-based application client for requesting data from a remote database and/or a service.

Systems and methods for managing a database back end as a service

Various aspects provide for implementation of a cloud service for running, monitoring, and maintaining cloud distributed database deployments and in particular examples, provides cloud based services to run, monitor and maintain deployments of the known MongoDB database. Various embodiments provide services, interfaces, and manage provisioning of dedicated servers for the distributed database instances (e.g., MongoDB instances). Further aspects, including providing a database as a cloud service that eliminates the design challenges associated with many distributed database implementations, while allowing the client's input on configuration choices in building the database. In some implementations, clients can simply identity a number of database nodes, capability of the nodes, and within minutes have a fully functioning, scalable, replicated, and secure distributed database in the cloud.

Systems and methods for managing distributed database deployments

Aspects of the present invention are directed to system and methods for optimizing identification of locations within a search area using hash values. A hash value represents location information in a single dimension format. Computing points around some location includes calculating an identification boundary that surrounds the location of interest based on the location's hash value. The identification boundary is expanded until it exceeds a search area defined by the location and a distance. Points around the location can be identified based on having associated hash values that fall within the identification boundary. Hashing operations let a system reduce the geometric work (i.e. searching inside boundaries) and processing required, by computing straightforward operations on hash quantities (e.g. searching a linear range of geohashes), instead of, for example, point to point comparisons.

System and method for determining exact location results using hash encoding of multi-dimensioned data

A system and computer implemented method for execution of aggregation expressions on a distributed non-relational database system is provided. The method comprises the acts of determining, by a computer system, an optimization for execution of an aggregation operation, wherein the aggregation operation includes a plurality of data operations on a distributed non-relational database; modifying, by the computer system, the plurality of data operations to optimize execution; splitting the aggregation operation into a distributed aggregation operation and a merged aggregation operation; instructing each of a plurality of shard servers to perform the distributed aggregation operation; aggregating, at a merging shard server, the results of the distributed aggregation operation from each of the plurality of shard servers; and performing the merged aggregation operation on the aggregated results of the distributed aggregation operation from each of the plurality of shard servers.

One aspect relates to a system that integrates a user interface of a device with a cloud based database system without use of a database application. A user may access a cloud based database system without the complexity of installing additional software or managing connections to the cloud based database system. The system may establish a communication link between the user interface and intelligent agents running on the database system in order to allow a user(s) to carry out various database monitoring and verification activities.

Systems and methods for monitoring distributed database deployments

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New York, NY, United States of America

Eliot Horowitz