ThoughtSpot had two patents in big data during Q2 2024. ThoughtSpot Inc’s patents in Q2 2024 focus on innovative systems and methods for query generation based on logical data models with one-to-one joins, as well as automatic data modeling. These technologies aim to improve data analysis and visualization by efficiently accessing and processing data based on user intent and analytical models. GlobalData’s report on ThoughtSpot gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ThoughtSpot had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Query generation based on a logical data model with one-to-one joins (Patent ID: US20240211479A1)
The patent filed by ThoughtSpot Inc. describes systems and methods for query generation based on a logical data model with one-to-one joins. The methods involve accessing a join graph representing tables in a database, selecting a connected subgraph that includes tables referenced in a query, modifying the subgraph based on indications of one-to-one joins, generating leaf queries, creating a query graph specifying joining of results from leaf queries, and invoking a transformed query on the database. The claims detail a method for obtaining a database query, generating a transformed database agnostic representation, obtaining user input data, and automatically generating a database agnostic representation of the query. The method further involves transforming the representation based on relationship data, obtaining a modified subgraph, generating a query graph, executing the database query, and presenting results to the user.
The patent also includes claims for a data analysis system that implements the method described, with a processor executing instructions stored in memory to obtain a database query, generate a transformed representation, and process user input data. The system is designed to automatically generate a database agnostic representation of the query, transform it based on relationship data, obtain a modified subgraph, generate a query graph, execute the query, and present results. Additionally, the patent covers a non-transitory computer-readable storage medium containing instructions for facilitating the operations described in the method, including obtaining a database query, generating a transformed representation, processing user input data, and automatically generating a database agnostic representation. The medium also includes instructions for transforming the representation, obtaining a modified subgraph, generating a query graph, executing the query, and presenting results to the user.
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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.
