Snowflake had 15 patents in big data during Q1 2024. Snowflake Inc’s patents in Q1 2024 include a system for differentially private security in database queries, a method for retrying unsuccessful queries, a data clean room for secure data analysis across multiple accounts, a system to identify optimal cloud resources for workloads, and resource management systems for data processing tasks. These patents focus on enhancing data security, query efficiency, and resource optimization in cloud environments. GlobalData’s report on Snowflake gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
Access deeper industry intelligence
Experience unmatched clarity with a single platform that combines unique data, AI, and human expertise.
Snowflake grant share with big data as a theme is 60% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Adaptive differentially private count (Patent ID: US20240095392A1)
The patent filed by Snowflake Inc. describes a differentially private security system that is connected to a database storing restricted data. This system receives a query from a client, performs an operation on the data, adds noise to the result to ensure differential privacy, and iteratively adjusts the noise value using a secondary distribution and new privacy spend fractions until the desired accuracy is achieved. The system stops iterating when the maximum privacy spend is reached or the relative error of the result meets the target accuracy. The differentially private result is then sent back to the client.
The method outlined in the patent involves receiving a client request for predictive analytics on a database, perturbing the result to ensure differential privacy using noise sampled from a probability distribution based on privacy spend fractions, and iteratively adjusting the noise value based on a secondary distribution and new privacy spend fractions until the relative error of the result meets the target accuracy. The process continues until the maximum privacy spend is reached or the desired accuracy is achieved. The patent also covers the storage medium storing the computer program instructions for executing these operations and the system comprising a processor and storage medium for implementing the method described.
To know more about GlobalData’s detailed insights on Snowflake, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
