Where does Databricks, Inc. rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Databricks, Inc. ranks #3,910 of 49,997 assignees by granted-patent volume, the same sort as the companies listing and top-holders ranking. See /methodology/#corpus-placement.

How many patents does Databricks, Inc. hold?

Databricks, Inc. holds 92 US utility patents granted between 2017 and 2025, spanning 3 technology areas.

What is Databricks, Inc.'s Innovation Score?

Databricks, Inc. has an Innovation Score of 53.7 out of 100 (top 9% of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

What technology areas does Databricks, Inc. focus on?

Databricks, Inc.'s top technology area is G06F (Electric Digital Data Processing) with 92 patents, ranking #584 of 13,878 assignees active in that subclass. Grants appear in 3 CPC subclasses total.

Is Databricks, Inc.'s patent grant rate increasing or decreasing?

Databricks, Inc.'s recent grant velocity is +309% compared to the prior five-year period (grant years, not application filing dates). This indicates accelerating grant output.

What does claim depth mean for Databricks, Inc.'s patents?

Databricks, Inc.'s patents average 19.8 claims each. This is an aggregate descriptive count from the grant record; it does not establish claim scope, legal strength, enforceability, or design-around risk.

How is the Databricks, Inc. patent data sourced?

All patent data comes from USPTO PatentsView, a public research dataset maintained by the United States Patent and Trademark Office covering US granted utility patents from 2015 to 2025.

USPTO 2015–2025 USPTO PatentsView US Corporation

Databricks, Inc.

USPTO PatentsView assignee record - 92 granted patents across 3 technology areas, recorded in grant years 2017–2025. Grant-trend analysis is cross-referenced to USPTO Patent Public Search; it does not measure application filings, current R&D, or legal strength. Primary class: G06F (Electric Digital Data Processing).

Compiled by PlainPatent · May 15, 2026

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Explore the portfolio See the ranking

The verdict

According to USPTO PatentsView, Databricks ranks #3,910 of 49,997 tracked US assignees by granted-patent volume, with 92 patents across 3 technology areas.

#3,910
of 49,997 US assignees by volume: Top 9%
by Innovation Score (53.7/100): 19.8
avg claims per patent: +309%
grant velocity, last 5 yrs

USPTO PatentsView assignee plate

Corpus R3910 · US Corporation #3,910 · 92 grants

GRANTS-SMALL · TOP-DECILE · PHOTO-FINISH · CPC-NARROW · INNOV-PAR · CLAIMS-RICH · TYPE-USCORP · VEL-SURGE · BOOK-FULL

GRANTS-SMALL 92 grants
TOP-DECILE #3,910/49,997
PHOTO-FINISH Bang & Olufsen A/S
CPC-NARROW G06F · 3 areas
INNOV-PAR 53.7/100
CLAIMS-RICH 19.8 claims/avg
TYPE-USCORP US Corporation
VEL-SURGE +309% vel
BOOK-FULL 10/10 fields

Nearest grant-volume peer: Bang & Olufsen A/S (±0 grants)

Instrument codes from this assignee’s USPTO PatentsView grant sheet: volume band, corpus rank, photo-finish peer, lead CPC, Innovation Score, claim depth, assignee type, velocity, and book completeness. Not a USPTO rating of patent strength.

How Databricks’s 53.7 Innovation Score adds up

The same four weighted components behind every Innovation Score on PlainPatent: portfolio volume, grant velocity, technology breadth, and claim depth.

Volume 15.7 pts (29%) Velocity 20.0 pts (37%) Breadth 6.1 pts (11%) Claim depth 11.9 pts (22%)

Qualcomm Incorporated · highest

85
Databricks · this assignee

54
Kowa · near

54
Saluda Medical Pty · near

54
Shifamed Holdings · near

54
Stellenbosch… · near

54
3D Lighting… · lowest

7

What this shows Databricks's Innovation Score is 53.7/100 (top 9% of the PatentsView-derived corpus). The chart places that score against the nearest Innovation Score peers plus corpus poles, not a reprint of the volume ranking.

Does more volume mean deeper claims for Databricks?

Each dot is one of Databricks’s 8 nearest volume peers (same corpus rank neighbourhood as the chart above), placed by total granted patents (horizontal) against average claims per patent (vertical). Databricks’s own 19.8 claims/patent is ABOVE the 15.9 median for these volume peers. More thorough claims than most filers at this scale, not just more of them.

Databricks vs its 8 nearest volume peers: granted patents vs average claims per patent. Source: USPTO PatentsView.

Where Databricks's grants concentrate

Databricks, Inc. is a focused PatentsView assignee: 3 CPC subclasses with 100% of grants classified under G06F (Electric Digital Data Processing). Peak complete grant year is 2024 (22 grants) versus a trough of 2 in 2021. By volume, Databricks sits between Bang & Olufsen A/S and FLSmidth A/S.

Databricks's three-year grant acceleration

Databricks, Inc. shows 37 grants in 2022–2024 against only 12 in 2019–2021. That prior window is too thin for a growth multiple (rename and spin-out assignees look artificially high when the baseline is near zero), so PlainPatent withholds a ranked acceleration claim here.

Bang & Olufsen A/S

92
Cidra Corporate S…

92
Cirque

92
Dreamworks Animat…

92
Doordash

92
Elsner Pac Jungpf…

92
Essenlix

92
Flsmidth A/S

92
Databricks ◀

92

What this shows Databricks holds 92 patents at rank #3,911, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Databricks

By rank, the assignees closest to #3,911 in granted patent volume.

Leaders in G06F (Electric Digital Data Processing)

Other assignees with the most granted patents in Databricks's primary technology class.

Assignees with similar portfolio profiles

Two PlainPatent-derived peer sets for Databricks, neither rank-band nor same-CPC leaders (those blocks stay above). In G06F (Electric Digital Data Processing), Databricks ranks #584 of 13,878 assignees by patent count in that subclass.

Similar innovation score

Nearest assignees by Innovation Score (54 here).

Shifamed Holdings, LLC 54 Saluda Medical Pty Ltd 54 Stellenbosch University 54 Kowa Company, Ltd. 54

Similar claim depth

Nearest assignees by average claims per patent (19.8 here).

Tableau Software, Inc. 19.8 avg Monsanto Technology LLC 19.8 avg LivaNova USA, Inc. 19.9 avg Avaya Management L.P. 19.8 avg

Databricks's Innovation Score vs. every tracked assignee

Composite of portfolio volume, grant velocity, technology breadth, and claim depth (0–100)

54 Top 9% higher than 91% of 49,997 US assignees

Each bar is a band; taller bars hold more US assignees. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.

Source USPTO PatentsView, PlainPatent Innovation Score · 2015–2025

USPTO utility patent grants by year · 2017–2025

Grants by year

Teal-shaded recent years (2020–present) versus the 2017–2019 baseline. Full figures in the table below.

View data table

Databricks, Inc. patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2017	4	4.3%
2018	3	3.3%
2019	4	4.3%
2020	6	6.5%
2021	2	2.2%
2022	6	6.5%
2023	9	9.8%
2024	22	23.9%
2025partial year	36	39.1%

Which technologies does Databricks, Inc. patent most?

G06F - Electric Digital Data Processing 92

G06N - Computing Arrangements Based ON Specific Computational Models 7

H04L - Transmission OF Digital Information, e.g. Telegraphic Communication 6

Top 3 of 3 technology areas

More on this record

Data Source

USPTO PatentsView, US granted patents 2015–2025

View all rankings → How is Innovation Score calculated?

What to do with this data

Databricks, Inc.'s patent record in context - here's where to go next.

Databricks, Inc.'s lead technology class is G06F (Electric Digital Data Processing), 100% of its portfolio - see every assignee active in that class. Explore G06F
Ranked #3,910 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Databricks, Inc. against Bang & Olufsen A/S, an assignee filing at a similar volume. Compare portfolios
Innovation Score of 53.7/100 blends volume, velocity, technology breadth, and claim depth. How it's calculated

Figures reflect USPTO PatentsView grant data through May 2026; pending applications not yet granted are not counted.

Data sourced from USPTO PatentsView - official U.S. government patent data. See our methodology for computation details. Retrieved and formatted by PlainPatent

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the USPTO PatentsView database. Consult a qualified professional before making decisions based on this data.

Read our methodology - how this data is sourced, computed, and verified.

Data sources used on this page

USPTO PatentsView - the disambiguated bulk patent-grant, assignee, and CPC data this page's figures are derived from. patentsview.org
Cooperative Patent Classification (CPC) - the joint USPTO/EPO classification scheme used to group patents by technology area. cooperativepatentclassification.org
USPTO Patent Public Search - the official interface to verify the status of any individual patent. ppubs.uspto.gov

Compiled by PlainPatent , US Patent Intelligence Editorial Process · May 15, 2026

Every figure on PlainPatent is rendered directly from USPTO source data, no number is typed in by an editor. This page draws directly on USPTO source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of May 2026.