Gong I.O has been granted a patent for a method ensuring consistency in read-after-write operations within a multi-replica relational database system. The method involves synchronizing data across replicas by utilizing counter values to determine the most current data version before executing read transactions. GlobalData’s report on Gong I.O gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Gong I.O, Quantum machine learning was a key innovation area identified from patents. Gong I.O's grant share as of June 2024 was 30%. Grant share is based on the ratio of number of grants to total number of patents.

Consistency in read-after-write operations in databases

Source: United States Patent and Trademark Office (USPTO). Credit: Gong I.O Ltd

The patent US12032555B2 outlines a method and system for ensuring consistency in read-after-write operations within a multi-replica relational database system (RDS). The method involves receiving a read transaction aimed at a database replica, obtaining counter values from various replicas to determine the current data version, and identifying a write replica based on the maximum counter value. If no read replica is available—defined as a replica with a counter value at least equal to that of the write replica—the system waits for a preconfigured time window to allow synchronization among the replicas. After this period, data is read from the available read replica, or from the write replica if no read replica is accessible.

Additionally, the patent specifies that the read transaction can be processed by SQL engines such as MySQL or PostgreSQL. The preconfigured time window is designed to be shorter than a watchdog timer and can be adjusted based on an update time parameter set by the RDS. The system also includes a controller that executes these processes, ensuring that data read from either the write or read replica is returned to the application server that initiated the read transaction. This approach aims to enhance data consistency and reliability in environments where multiple database replicas are utilized.

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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.