Snowflake. has been granted a patent for a method that enhances data warehouse capacity by monitoring query processing, assessing performance from user devices, and dynamically adjusting query timing based on this performance to optimize processing efficiency. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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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 June 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic scaling of data warehouse query processing capacity
The patent US12045257B2 outlines a method and system for optimizing query processing in a data warehouse environment. The method involves monitoring the processing of queries, receiving requests to process database data, and assessing the performance of these requests as perceived by user devices. Based on this performance data, the system can adjust the timing of query processing to enhance efficiency. This includes the potential to delay query processing if current delays exceed a predetermined threshold. The method also allows for the addition or removal of processing resources, such as processors or storage devices, without impacting the overall storage capacity of the data warehouse.
Additionally, the patent describes a non-transitory computer-readable medium that stores instructions for executing the aforementioned method. The system is designed to ensure that each processing resource includes multiple processors with data caches, and it emphasizes the physical separation of the storage platform from processing resources. The requests processed can include both data retrieval and storage requests, providing flexibility in handling various database operations. Overall, the patent presents a comprehensive approach to managing and optimizing data warehouse performance through adaptive resource management and timing adjustments.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
