Rubrik had three patents in big data during Q4 2023. Rubrik Inc’s patents filed in Q4 2023 focus on data management techniques, including grouping computing objects based on characteristics and generating recovery instructions for users. Additionally, the patents describe a data storage infrastructure that establishes partitions across geographically separated data centers, replicates snapshots of virtual machines, and captures incremental snapshots during failover events for seamless data management. GlobalData’s report on Rubrik gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Rubrik grant share with big data as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Suggesting blueprints for recovering computing objects (Patent ID: US20230401127A1)

The patent filed by Rubrik Inc. describes techniques for data management in a data management system. The method involves determining characteristics of a set of computing objects, grouping them based on these characteristics, generating instructions for recovering the objects, providing these instructions as suggestions to a user, and configuring a recovery engine based on the user's selection to recover the objects. The system can autonomously recover the objects in case of a recovery event, such as damage to the system, malware identification, or power loss, by following the predefined configuration.

The patent also includes provisions for receiving user modifications to the instruction set, identifying computing objects based on shared characteristics, generating multiple instruction sets for different computing objects, and grouping objects based on various criteria like naming conventions, server locations, data patterns, and more. The apparatus and computer-readable medium described in the patent provide a system for implementing these data management techniques, including determining characteristics, grouping objects, generating recovery instructions, transmitting suggestions to users, and configuring recovery engines. Overall, the patent outlines a comprehensive method and system for efficient data recovery based on the characteristics and grouping of computing objects in a data management 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.