Timescale Assigned Patent

Timescale, Inc., New York, NY, has been assigned a patent (11995084) developed by Ayyappan; Gayathri Priyalakshmi, Pittsburgh, PA, Freedman; Michael J., Princeton, NJ, Gichohi; Samuel, New York, NY, and Musan; Ildar, Berlin, Germany, for a “database system for querying time-series data stored in a tiered storage using a cloud platform.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “A database system stores a hypertable representing a database table partitioned into chunks along a set of one or more dimension attributes. A subset of chunks of the hypertable is stored in a primary database storage and another subset of chunks stored in cloud storage. The database system transmits chunks from the primary database storage to a cloud storage either individually or as larger batches of chunks. Each chunk in the cloud storage is stored using a different database storage format compared to the database storage format used in the primary database storage. The database system receives a database query and generates a query execution plan including operators for accessing a set of chunks stored in the primary database storage and operators for accessing a set of chunks stored in the cloud storage. Results obtained by processing the different sets of chunks are combined.”

The patent application was filed on 2023-10-05 (18/481840).