Snowflake had 131 patents in digitalization during Q4 2023. Snowflake Inc’s patents filed in Q4 2023 focus on data replication involving cross replication group references, sharing materialized views in multiple tenant database systems, stream object configuration with stream expansion for query processing, creating applications with APIs in data-provider and data-consumer accounts, and generating cell data for machine learning models in a more efficient format for processing. GlobalData’s report on Snowflake gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Snowflake grant share with digitalization as a theme is 39% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Repairing unresolved dangling references after failover (Patent ID: US20230418711A1)
The patent filed by Snowflake Inc. discloses methods and techniques for data replication involving cross replication group references. The system allows for batch database replication and failover between multiple database deployments or providers. Data is stored in a primary deployment and replicated in secondary deployments, with transactions executed on secondary deployments when the primary is unavailable. Upon the primary deployment becoming available again, transactions executed on secondary deployments are propagated back to the primary. The system ensures that queries on the database data are executed on the primary deployment when available, promoting a failover group to an operating group by replicating objects associated with external references and establishing relationships between external objects and references.
The method involves categorizing references of objects in the source group into external and non-external references, with external references and associated objects not replicated during failover. The system identifies associations between objects in the source group and external objects, recording these associations in replication metadata. Upon detecting external objects, rebuilt relationships are established between replicas in the failover group and external objects. The system also allows for the generation of reference maps to record missing relationships and ensures proper synchronization between failover and source groups. Additionally, the system captures snapshots of the failover group synchronized with the source group to maintain functional relationships with external objects during failover.
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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.
