MondayCom has been granted a patent for a system that enhances access performance to a distributed database. The system utilizes a memory-based architecture with multiple partitions to store datasets, incorporating primary and secondary data portions, and employs metadata for efficient data retrieval without additional reads. GlobalData’s report on MondayCom gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on MondayCom, Intelligent voice assistant was a key innovation area identified from patents. MondayCom's grant share as of June 2024 was 78%. Grant share is based on the ratio of number of grants to total number of patents.
Distributed database system for improved access performance
The patent US12032596B1 describes a system designed to enhance access performance to a distributed database by efficiently managing the storage and retrieval of datasets. The system comprises a memory that holds a distributed database with multiple partitions for various datasets, alongside a non-transitory persistent storage device containing executable code. A processor executes this code to partition incoming datasets into primary and additional data portions based on their sizes. The primary data portion is stored in a designated primary partition, while additional portions are stored in secondary partitions, each linked by unique identifiers. This metadata, which includes identifiers for additional data portions, is stored in the primary partition, allowing for efficient retrieval without needing to access secondary partitions unless necessary.
The claims further detail the operational processes for both reading and writing datasets. During a read cycle, the system can determine if additional data portions exist by checking the metadata in the primary partition. If additional portions are present, they can be read concurrently from their respective secondary partitions. The write cycle is similarly optimized, allowing for the storage of new or updated datasets by determining their size and managing the metadata accordingly. The system also includes mechanisms for accumulating write cycles based on predefined rules and applying locks to prevent simultaneous access during updates. Overall, the patent outlines a structured approach to managing datasets in a distributed database, focusing on improving access performance through efficient partitioning and metadata management.
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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.
