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San Francisco, CA, United States of America

Databricks Inc.

USPTO Granted Patents = 126

Trademarks = 8

Forward Citations = 832

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158 inventors (with patents filed for the assignee):

Michael Paul Armbrust (16 out of 17 patents)

Ali Ghodsi (16 out of 16 patents)

Bart Samwel (16 out of 16 patents)

4. Shi Xin (15 out of 15 patents)

5. Tathagata Das (14 out of 14 patents)

6. Matei Zaharia (13 out of 13 patents)

7. Alexander Behm (12 out of 15 patents)

8. Ion Stoica (11 out of 52 patents)

9. Srinath Shankar (10 out of 37 patents)

10. Burak Yavuz (10 out of 10 patents)

11. Prakhar Jain (10 out of 11 patents)

12. Shoumik Palkar (8 out of 8 patents)

13. Aaron Daniel Davidson (8 out of 8 patents)

14. Shixiong Zhu (7 out of 7 patents)

15. Juliusz Sompolski (7 out of 9 patents)

Core Competencies:

Vector Generation

Database Queries

Data Lineage Tracking

Cloud Storage

Machine Learning

Data Sharing

Streaming Workloads

Data Maintenance

Data Clustering

ETL Process

Object Metadata

Model Registry

126 patents: Sort by Forward Citations

1. 12717815 - State rebalancing in structured streaming (2026-08-25),

2. 12711132 - SHORT QUERY PRIORITIZATION FOR DATA PROCESSING SERVICE (2026-08-18),

3. 12710996 - NUMA AWARENESS ARCHITECTURE FOR VM-BASED CONTAINER IN KUBERNETES ENVIRONMENT (2026-08-18),

4. 12688181 - Retrieval and caching of object metadata across data sources and storage systems (2026-07-21),

5. 12681934 - Efficient merging of tabular data with post-processing compaction (2026-07-14),

6. 12681747 - Resource management for numa awareness architecture for VM-based container in KUBERNETES environment (2026-07-14),

7. 12670289 - Management of object metadata across data sources and storage systems (2026-06-30),

8. 12657330 - Access control of managed clusters performing data processing on cloud platforms (2026-06-16),

9. 12657205 - Online data validation for database replication (2026-06-16),

10. 12657168 - Clean room generation for data collaboration and executing clean room task in data processing pipeline (2026-06-16),

11. 12645592 - Updating KV-cache across transformer layers (2026-06-02),

12. 12639282 - Vector index building in distributed computing system (2026-05-26),

13. 12632474 - Clustering key selection based on machine-learned key selection models for data processing service (2026-05-19),

14. 12613847 - Automatic pipeline for embedding vector generation (2026-04-28),

15. 12608375 - Static approach to lazy materialization in database scans using pushed filters (2026-04-21),

Databricks Inc. is a unified data analytics platform provider. The company was founded in 2013 by the original creators of Apache Spark, an open-source big data processing and analytics engine. Databricks offers a cloud-based platform that enables enterprises to process, analyze, and visualize massive amounts of data. Their unified platform combines data engineering, data science, and machine learning capabilities to enable businesses to gain insights and make data-driven decisions. Databricks is trusted by numerous organizations across industries, ranging from startups to Fortune 500 companies.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Sep 15 2026

Databricks Inc.

126 Patents

#50 in San Francisco, CA

#691 in California

#3,071 in US

#6,343 in the World

San Francisco, CA, United States of America

Databricks Inc.

Forward Citations = 832

158 inventors:

Michael Paul Armbrust (16 out of 17 patents)

Ali Ghodsi (16 out of 16 patents)

Bart Samwel (16 out of 16 patents)

4. Shi Xin (15 out of 15 patents)

5. Tathagata Das (14 out of 14 patents)

Please report any incorrect information to [email protected]

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