Snowflake had 14 patents in cloud during Q1 2024. Snowflake Inc’s patents filed in Q1 2024 focus on optimizing task scheduling, improving resource usage, streamlining operations across multiple accounts, and sharing metrics related to data access. Techniques include constructing transaction lock wait history, predicting resource requirements using machine learning, dynamic throttling, autoscaling, and providing a global identity for accessing multiple accounts. The patents also involve sharing metrics regarding data access and interactions with data providers in a data exchange. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Snowflake grant share with cloud as a theme is 42% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Event driven technique for constructing transaction lock wait history (Patent ID: US20240104082A1)

The patent filed by Snowflake Inc. describes techniques for constructing transaction lock wait history, specifically focusing on blocker queries in a network-based data warehouse. The method involves receiving a blocked transaction referencing a resource, transmitting telemetry events based on the block and lock ownership acquisition, and executing the transaction on the resource. The telemetry events can be stored in cloud storage, transferred to a database, and used to generate a view showing transaction lock wait history for the resource, which can be a table or a partition within a table. The system includes hardware processors and memory storing instructions to perform these operations, with telemetry events transmitted between foreground and background components in a compute service manager.

Overall, the patent outlines a method, machine-storage medium, and system for monitoring and managing transaction lock wait history in a network-based data warehouse. By tracking blocked transactions, lock ownership acquisition, and telemetry events, the technique provides insights into resource access patterns and potential bottlenecks. The use of cloud storage, database transfer, and view generation enhances visibility and analysis of transaction behavior, particularly for tables and partitions. The system architecture involving hardware processors and memory ensures efficient execution of these operations, with telemetry events facilitating communication between different components within the compute service manager.

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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.