Palantir Technologies Inc.

Palantir Tschngmgies Inc.

Wilson Wong

David Tobin

Steven Fackler

Dylan Scott

Orcun Simsek

Hongjai Cho

Nikhil Taneja

Austin Czarnecki

Can Guler

Lucas Lemanowicz

Allen Cai

Daniel Deutsch

Eliot Ball

Michael Nazario

Mikhail Proniushkin

Nicholas Miyake

Kevin Verdieck

Kayo Teramoto

Zachary Bush

Brian Ngo

Aditya Dahiya

Calvin Fernandez

Izaak Baker

Xiaohan Zhang

Ayush Sood

Audrey Kuan

Sean Kelley

Grace Wang

Siddharth Rajgarhia

Jiaji Hu

Jerry Chen

Holly Xu

Clark Minor

Jonathan Hong

Sri Krishna Vempati

Christopher Rogers

Pawel Adamowicz

Christopher Rodgers

Simsek Orcun

A database system is described that includes components for storing time-series data and executing custom, user-defined computational expressions in substantially real-time such that the results can be provided to a user device for display in an interactive user interface. For example, the database system may process stored time-series data in response to requests from a user device. The request may include a start time, an end time, a period, and/or a computational expression. The database system may retrieve the time-series data identified by the computational expression and, for each period, perform the arithmetic operation(s) identified by the computational expression on data values corresponding to times within the start time and the end time. Once all new data values have been generated, the database system may transmit the new data values to the user device for display in the interactive user interface.

Time-series data storage and processing database system

Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.

Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data

Aspects of the present disclosure relate to alerting. A server accesses a user-provided specification, the user-provided specification indicating an initial alert range for a measured value and a subsequent alert schedule for the measured value. The server monitors a physical measurement of the measured value. The server determines that the physical measurement falls within the initial alert range. The server provides an initial alert in response to the physical measurement falling within the initial alert range. The server provides a subsequent alert according to the subsequent alert schedule in the user-provided specification.

Alerting system and method

Growing community of inventors

Menlo Park, CA, United States of America

Wilson Wong