Snowflake‘s patented method involves automated query retry on an execution platform with multiple nodes. If the first execution fails, a second execution is scheduled on a different node with a different database platform version. The cause of failure is determined based on the second execution’s result. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Snowflake, Social media analytics was a key innovation area identified from patents. Snowflake's grant share as of April 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Automated query retry method for database platform version compatibility

Source: United States Patent and Trademark Office (USPTO). Credit: Snowflake Inc

A recently granted patent (Publication Number: US11971799B2) discloses a method and system for optimizing query execution on an execution platform with multiple nodes. The method involves selecting a node, executing a query using a database platform version, detecting failed execution, and scheduling a second execution on a different node with a different database platform version. The cause of the failed execution is determined based on the results of the second execution, allowing for efficient troubleshooting and optimization of query performance.

Furthermore, the system described in the patent includes at least one hardware processor and memory storing instructions for selecting nodes, executing queries, detecting failures, and determining causes of failed executions. By incorporating features such as retry executions, continuous retry loops, and version-based selection of database platforms, the system aims to enhance query performance and reliability. This innovative approach to query execution management can potentially improve the efficiency and effectiveness of database systems, offering a valuable solution for optimizing query processing in complex execution environments.

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