ThoughtSpot. has filed a patent for a low-latency database analysis system using domain-specific chronometry. The system involves obtaining configuration data, generating a dataset describing chronometric units, and storing it in the database analysis system. The patent aims to improve data analysis efficiency. GlobalData’s report on ThoughtSpot gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on ThoughtSpot, User behaviour analysis was a key innovation area identified from patents. ThoughtSpot's grant share as of January 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.

Low-latency database analysis system using domain-specific chronometry

Source: United States Patent and Trademark Office (USPTO). Credit: ThoughtSpot Inc

A patent application (Publication Number: US20240004900A1) describes a non-transitory computer-readable storage medium containing executable instructions that enable the performance of various operations related to database analysis. The operations include obtaining chronometry configuration data, generating a domain-specific chronometry dataset based on this data, and storing the dataset in the database analysis system. The dataset describes chronometric units with temporal locations expressed in a specific manner, different from canonical chronometry. The storage involves creating tables in a distributed in-memory database and generating objects representing the dataset stored in a distributed in-memory ontology. Additionally, a chronometry index is generated for indexing descriptor values associated with chronometric units, and a finite state machine is created based on the ontological data.

Furthermore, the patent application details the process of obtaining chronometry configuration data, which includes expressing usage intent for the database analysis system and includes boundary configuration data defining minimum and maximum temporal locations for the dataset. The configuration data also includes relationships between different chronometric units and descriptor data. The application also discusses the automatic generation of primary and secondary chronometry configuration data based on the boundary configuration data. The secondary data includes descriptors, ordinal values, sequence values, and temporal locations for various instances of chronometric units within the dataset. Overall, the patent application outlines a comprehensive system for managing and analyzing chronometric data in a database analysis system, utilizing specific configurations and data structures to represent and store the information effectively.

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