For the Inventor, By the Inventor

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San Diego, CA, United States of America

Teradata US, Inc.

USPTO Granted Patents = 581

% Expired Patents = 1.7

CIPO Patents = 1

EPO Patents = 3

Trademarks = 18

Forward Citations = 5,133

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544 inventors (with patents filed for the assignee):

Douglas Paul Brown (83 out of 93 patents)

Bhashyam Ramesh (56 out of 65 patents)

John Mark Morris (38 out of 38 patents)

4. Louis Martin Burger (37 out of 37 patents)

5. Anita Richards (35 out of 35 patents)

6. Jeremy L Branscome (23 out of 24 patents)

7. Donald Raymond Pederson (22 out of 28 patents)

8. Yu Xu (22 out of 23 patents)

9. Thomas Kevin Ryan (20 out of 20 patents)

10. Thomas Patrick Julien (20 out of 21 patents)

11. Michael Warren Watzke (18 out of 28 patents)

12. Paul Laurence Sinclair (18 out of 38 patents)

13. Frank Roderic Vandervort (17 out of 17 patents)

14. Gregory Howard Milby (17 out of 33 patents)

15. Michael Leon Reed (17 out of 25 patents)

Core Competencies:

Query Optimization

Workload Management

Deep Learning

Massively Parallel Databases

Cloud-Based Stores

Data Storage

Resource Management

SQL Functions

Data Reduction

Cardinality Estimation

Object Storage

Analytical Functions

581 patents: Sort by Forward Citations

1. 12769721 - Management of diverse data analytics frameworks in computing systems (2026-10-20),

2. 12737792 - Auto-mated price performance offers for cloud database systems (2026-09-15),

3. 12717784 - Query expression repository (2026-08-25),

4. 12705242 - System and method for caching object data in a cloud database system (2026-08-11),

5. 12675382 - CloudLake real-time single operational view query and resource monitoring (2026-07-07),

6. 12579119 - Selective spool data storage in an object store or local database storage (2026-03-17),

7. 12579103 - Method and system for performing read/write operations in database systems including managed object stores (2026-03-17),

8. 12524681 - Performing hyperparameter tuning of models in a massively parallel database system (2026-01-13),

9. 12505118 - Correlation-driven query optimization for cloud-based stores (2025-12-23),

10. 12504991 - Workload memory management to achieve service level goals in a highly concurrent database system executing in a cloud and/or on-prem systems (2025-12-23),

11. 12493793 - Methods and techniques for deep learning at scale over very large distributed datasets (2025-12-09),

12. 12493598 - Object level load balancing for workload distribution across database instances (2025-12-09),

13. 12475126 - Departmental allocation of query processing (2025-11-18),

14. 12475117 - System and method for determining object cardinality in object store database systems (2025-11-18),

15. 12475097 - Access management of data objects in databases, including massively parallel database processing systems (2025-11-18),

Company Overview

Teradata US, Inc., headquartered in San Diego, CA, specializes in advanced database management solutions. The company focuses on optimizing query performance and managing workloads effectively, enabling organizations to harness the power of their data. Teradata's expertise spans deep learning, massively parallel databases, and cloud-based data storage, providing robust resource management and SQL functionalities. Their innovative technologies empower businesses to derive actionable insights from complex data environments, enhancing decision-making and operational efficiency.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

581 Patents

#9 in San Diego, CA

#189 in California

#850 in US

#1,686 in the World

San Diego, CA, United States of America

Teradata US, Inc.

Forward Citations = 5,133

544 inventors:

Douglas Paul Brown (83 out of 93 patents)

Bhashyam Ramesh (56 out of 65 patents)

John Mark Morris (38 out of 38 patents)

4. Louis Martin Burger (37 out of 37 patents)

5. Anita Richards (35 out of 35 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Teradata US, Inc.. Retrieved from https://idiyas.com/company/teradata-us

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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