Snowflake had 98 patents in digitalization during Q1 2024. Snowflake Inc’s patents in Q1 2024 focus on generating nested objects and secondary indexes, constructing transaction lock wait history, tracking changes in micro-partitions of a database table, implementing row-level security policies, and providing a differentially private security system for database queries. These technologies aim to enhance data management, access control, and privacy protection within database systems. 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 digitalization as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Hybrid table secondary index for lookups, unique checks, and referential integrity constraints (Patent ID: US20240104116A1)

The technology described in the patent involves generating nested objects and table objects based on metadata to create secondary indexes of a base table. The system includes processors that perform operations such as linking nested objects to table objects, generating secondary indexes, and storing the generated objects in a metadata database. The method and computer-storage medium also include similar operations for creating nested and table objects based on metadata, determining table object associations, and generating constraint objects.

The patent claims outline a system, method, and computer-storage medium for generating nested and table objects based on metadata to create secondary indexes of a base table. The operations involve linking objects, generating indexes, and storing information in a metadata database. Additional features include generating constraint objects, determining table associations, and creating objects based on specific sets of metadata. The technology aims to efficiently organize and manage data structures within a database system.

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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.