Snowflake Inc.

Daniel Freundel

Thierry Cruanes

Allison Waingold Lee

Justin Langseth

Christian Kleinerman

Matthew J Glickman

Robert Muglia

Systems, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The secure UDF returns a count of matching data points between the consumer account and the provider account, and the method provides the count of matching data points to the consumer account.

Secure data point matching in a multiple tenant database system

Systems, methods, and devices for generating a secure join of database data are disclosed. A method creates a secure view of datapoints of a consumer account and processes, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The datapoints of the consumer account are provided to the secure UDF using the secure view. The method further performs, by a processor, an analysis of the datapoints of the consumer account and the datapoints of the provider account of the secure join key. The analysis returns a count value of overlapping datapoints between the consumer account and the provider account. The method further adjusts the count value of overlapping datapoints based on a number of distinct rows associated with the provider account, and provides the adjusted count value of overlapping datapoints to the consumer account.

Data overlap count adjustment in a multiple tenant database system

Systems, methods, and devices for generating a secure join of database data are disclosed. A method includes hashing datapoints of a consumer account and creating a secure view of the hashed datapoints of the consumer account. The method further includes processing, using a secure user defined function (UDF), the hashed datapoints of the consumer account and datapoints of a provider account to generate a secure join key, wherein the hashed data points of the consumer account are provided to the secure UDF using the secure view.

Data overlap count in a multiple tenant database system

Systems, methods, and devices for generating a secure join of database data are disclosed. A method includes determining data stored in a first account to be compared with data stored in a second account. The method includes determining a function for generating a secure join key, wherein the secure join key includes a hashed string that hashes one or more of a data entry of the first account and a data entry of the second account. The method includes providing the secure join key to the first account and/or the second account.

Secure data joins in a multiple tenant database system

Systems, methods, and devices for generating a secure join of database data are disclosed. A method includes creating a secure view of datapoints of a consumer account and processing, using a secure user defined function (UDF), the datapoints of the consumer account and datapoints of a provider account to generate a secure join key. The secure join key comprises a hash string of the datapoints of the provider account and the datapoints of the consumer account, and wherein the datapoints of the consumer account are processed via the secure view. The method further includes executing a consumer function to analyze the hash string of datapoints of the secure join key for common data points.

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San Francisco, CA, United States of America

Daniel Freundel