Pure Storage had 50 patents in digitalization during Q4 2023. Pure Storage Inc’s patents in Q4 2023 focus on optimizing data compression algorithms based on resource availability, accessing files in a storage system through distributed authorities, utilizing machine learning to identify changes in storage media, extending data lifetime for deduplication, and implementing fault detection in cross-region replicated object stores. These innovations aim to improve storage efficiency, data access, and system reliability. GlobalData’s report on Pure Storage gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Pure Storage grant share with digitalization as a theme is 46% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Compression algorithm based on resource availability (Patent ID: US20230409546A1)

The patent filed by Pure Storage Inc. focuses on a method, apparatus, and computer program product for utilizing different data compression algorithms based on the characteristics of a storage system. The key aspect of the invention involves detecting changes in the availability of resources for storing additional data in the storage system and selecting a data compression algorithm based on these changes. This selection process involves considering factors such as processing and storage resource availability, data reduction expectations, decompression speeds, and the priority for conserving resources. By dynamically choosing the most suitable compression algorithm based on these factors, the efficiency and performance of the storage system can be optimized.

The method, apparatus, and computer program product outlined in the patent claims provide a systematic approach to adaptively selecting data compression algorithms in a storage system. By monitoring changes in resource availability and considering various factors such as data reduction expectations and decompression speeds, the system can intelligently choose the most appropriate compression algorithm for a given scenario. This dynamic selection process ensures efficient resource utilization and optimal performance of the storage system, ultimately enhancing data compression capabilities and overall system efficiency. The patent highlights a sophisticated approach to data compression that can significantly benefit storage systems in terms of resource management and performance optimization.

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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.