Snowflake’s patent describes resource management systems and methods for efficient query processing. The system includes multiple execution nodes with cache and processor, dynamically creating new nodes based on query tasks. This innovation optimizes processing resources based on task requirements, enhancing database data retrieval 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 May 2024 was 37%. Grant share is based on the ratio of number of grants to total number of patents.
Resource management system for processing queries with cache resources
A recently granted patent (Publication Number: US12013876B2) discloses a system that includes a memory and a processing device connected to the memory. The processing device is designed to provide multiple execution nodes, each consisting of a cache and a processor, connected to a storage platform. Upon receiving a query referencing database data stored in the storage platform, the system determines a task associated with processing the query and creates a new execution node with cache and processing resources tailored to the task's requirements. This new execution node is then integrated into the existing nodes to handle the query efficiently.
Furthermore, the system described in the patent involves the allocation of tasks to specific execution nodes based on the data cached within them, optimizing the processing of queries. The creation of new execution nodes is triggered by deficits in processing or caching resources, ensuring smooth operation. The patent also covers methods and computer-readable mediums with instructions for implementing the system, emphasizing the dynamic allocation of resources and efficient processing of database queries across multiple execution nodes.
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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.
