Palantir Technologies Inc.

Ernest Zeidman

Katherine Brainard

Peter Wilczynski

Ilya Nepomnyashchiy

John Antonio Carrino

John Kenneth Garrod

Matthew Elkherj

Daniel Zangri

Stephen Freiberg

Alexander Landau

David Montague

Bryan Offutt

Brian Dorne

Michael Levin

Joules Nahas

Anthony Bak

Spencer Stecko

Kolin Purcell

Simon Swanson

Andrew Greene

Ilya Nepomnyaschchiy

Sharon Hao

Will Deuschle

Systems, methods, and non-transitory computer readable media may be configured to access first database and a second database. The first database may be structured for a first data type, and may include a first data of the first data type. The second database may be structured for a second data type different from the first datatype, and may include a second data of the second data type. The second data may be associated with the first data. A first information request relating to the first data and a second information request relating to the second data may be received. A first response to the first information request may be determined based on the second data. A second response to the second information request may be determined based on the first data. An interface, through which the first response or the second response is accessible, may be provided.

Unified data model and interface for databases storing disparate types of data

A method of contextual modification of data sharing constraints is disclosed. The method comprises receiving a data sharing request to share a first data model with a database associated with a second data model; generating a shareable version of the first data model in response to the data sharing request; determining a parameter value used to perform a data model merging operation to merge the shareable version of the first data model with the second data model, the parameter value indicating whether to execute or skip a particular process during the data model merging operation; determining context data for the data model merging operation based on the generating; modifying the parameter value based on the context data; performing the data model merging operation using the modified parameter value.

Contextual modification of data sharing constraints in a distributed database system that uses a multi-master replication scheme

A computer-implemented method of context-based constraint modification is disclosed. The method comprises receiving a data sharing request in a distributed database system to share a data model between databases. The method further comprises adjusting a data sharing constraint applicable to the data sharing request based on data related to previous data sharing processes, the data sharing constraint being related to data transmission or validation, access control, or conflict resolution. The method additional comprises determining that the data sharing request requires data merging; reading a data file containing a shareable version of at least a portion of the data model subject to the data sharing constraint; and merging the shareable version with a current data model for a database of the databases.

Systems, methods, and non-transitory computer readable media are provided for labeling depictions of objects within images. An image may be obtained. The image may include a depiction of an object. A user's marking of a set of dots within the image may be received. The set of dots may include one or more dots. The set of dots may be positioned within or near the depiction of the object. The depiction of the object within the image may be labeled based on the set of dots.

Machine learning assistant for image analysis

Systems and methods are provided for storing a first data object comprising a first set of immutable components, the first data object being associated with a corresponding second data object stored by a remote replication system. A difference is determined between the first set of immutable components of the first data object and a second set of immutable components of the corresponding second data object. A subset of immutable components is identified from the first set of immutable components based on the difference. The subset of immutable components from the first set of immutable components is provided to the remote replication system over a communication network.

Systems and methods for data replication synchronization

Techniques for contextual modification of data sharing constraints in a distributed database system are disclosed. The constraint modifications can improve data sharing processes, particularly in applications that involve cross-model data sharing and/or have a need for low data latency.

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Palo Alto, CA, United States of America

Ernest Zeidman