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Who uses Databricks?

Unified analytics platform for data and AI databricks.com

38

companies use Databricks

15 confirmed 11 observed 12 signals

38 companies use Databricks. 11% are in Fashion & Apparel. Confirmed or observed customers include Mastercard, Mercedes Benz, and OpenAI. 15 of them are confirmed by a published case study, quote or press release.Latest check Oct 8, 2026: 37 of 38 companies checked, from 25 public sources.

Customers by proof
15 confirmed, 11 observed, 12 signals
Top industry
Fashion & Apparel, 11% of customers
Pricing
Data Engineering: from $0.15 / DBU; Data Warehousing: from $0.22 / DBU; Interactive workloads: from $0.40 / DBU; Operational Database: from $0.069 / CU; Artificial Intelligence: from $0.07 / DBU; Genie: from $0.07 / DBUSource: databricks.com, checked Oct 5, 2026
Most similar
Monte Carlo, 5 shared customers

What Databricks does

Databricks is a unified data analytics platform built on Apache Spark. It provides a collaborative environment for data engineering, data science, and machine learning, with native support for lakehouse architecture and MLOps.

Written by usedby from databricks.com.

Main features

  • Unity Catalog
  • Delta Lake
  • MLflow integration
  • Collaborative notebooks
  • Auto-scaling clusters
  • SQL analytics

Common uses

  • Data engineering
  • Machine learning
  • Real-time analytics
  • Data science collaboration
  • ETL pipelines
  • LLM fine-tuning

What customers use it for

Teams named on 14 customer lines

Engineering11
Data1
Operations1
Other teams1

38 companies use Databricks

Every company below links to the public page that shows it uses Databricks. Open a row to see the dated capture.

Customers over time: appears once we have six months of archived captures.

CompanyIndustryFirst public proofProof
MastercardFintech & Payments—
Mercedes BenzAutomotive Manufacturing—
OpenAIArtificial Intelligence—
ToyotaAutomotive Manufacturing—
AdidasFashion & Apparel—
AdobeMarketing Tech—
HeinekenConsumer Goods—
KPMGAccounting & Audit—
Prada GroupFashion & Apparel—
Rolls-RoyceAerospace & Defense—
Showing 10 of 38.

By industry

11% of Databricks's customers are in Fashion & Apparel.

Fashion & Apparel4
Fintech & Payments4
Automotive Manufacturing3
Airlines & Aviation Services2
Artificial Intelligence2
Other23

Is Databricks right for your company?

See what companies in your industry use, from the companies we track. Pick your industry.

Of the 50 Fashion & Apparel companies on usedby, 4 are listed as Databricks customers. 3 use only another Data Cloud & Analytics tool.

  • Databricks only, 8%
  • Databricks and another tool in Data Cloud & Analytics, 0%
  • Another tool in Data Cloud & Analytics only, 6%
  • No Data Cloud & Analytics tool we can see, 86%

These are companies usedby tracks because a public page names them, often Databricks's own customer page. It is not a market share. A company counts once, whatever the number of tools it uses.

What customers report

Results as published by Databricks and its customers. Each one links to its dated source. We quote, we do not score.

10,000+inventory simulations run across all parts and facilities

Shell
Vendor case studyCaptured Oct 2, 2026

70%Reduction in ETL pipeline creation time

Columbia
Vendor case studyCaptured Oct 2, 2026

1,000+dashboards built for insights to improve supply

Barilla
Vendor case studyCaptured Oct 2, 2026

60%latency reduction, cutting average response time

Adidas
Vendor case studyCaptured Oct 2, 2026

Read the story

KPMG
Vendor case studyCaptured Oct 2, 2026

Read the story

Nasdaq
Vendor case studyCaptured Oct 2, 2026

Read the story

Rolls-Royce
Vendor case studyCaptured Oct 2, 2026

Read the story

Heineken
Vendor case studyCaptured Oct 2, 2026

Read the story

Mastercard
Vendor case studyCaptured Oct 2, 2026
Azure Databricks has enabled KPMG to modernize the data estate with a platform that powers data transformation, analytics and AI workloads, meeting our emerging AI requirements across the firm while also reducing complexity and costs.
Jodi Morton, Chief Data Officer, KPMG. Source, Captured Oct 2, 2026
One of the benefits of this platform is how fast people can come up to speed on it. All that data is coming in, and more business units are using it across the enterprise in a self-service manner that was not possible before,
Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear, Columbia. Source, Captured Oct 2, 2026

Before you buy Databricks

What Databricks publishes on the points buyers check first, each with its source and check date.

Data processing termsA data processing agreement is available.databricks.com, checked Oct 5, 2026
Free trialFree trial or free plan available.databricks.com, checked Oct 5, 2026
IntegrationsPyCharm, VS Codedatabricks.com, checked Oct 5, 2026
PricingData Engineering: from $0.15 / DBU; Data Warehousing: from $0.22 / DBU; Interactive workloads: from $0.40 / DBU; Operational Database: from $0.069 / CU; Artificial Intelligence: from $0.07 / DBU; Genie: from $0.07 / DBUdatabricks.com, checked Oct 5, 2026

Questions to ask in your demo

  1. Which of your customers look like us, by industry and size?
  2. What does a pilot cost, and what decides the move to a full contract?
  3. Where is our data stored, who can access it, and is it used to train models?
  4. How does Databricks work with the tools we already use?

Databricks alternatives

Tools compared with Databricks most often, with the customers they share.

ToolCustomersShared with DatabricksCompare
Monte Carlo69 customers, 5 shared695Databricks vs Monte Carlo
Snowflake43 customers, 7 shared437Databricks vs Snowflake
Hightouch52 customers, 3 shared523Databricks vs Hightouch
ThoughtSpot61 customers, 0 shared610Databricks vs ThoughtSpot
Hex29 customers, 0 shared290Databricks vs Hex

Questions about Databricks

Who uses Databricks?

38 companies use Databricks, including Mastercard, Mercedes Benz, and OpenAI.

Which industries use Databricks?

The industries with the most Databricks customers are Fashion & Apparel (4), Fintech & Payments (4), and Automotive Manufacturing (3).

What are the alternatives to Databricks?

The tools compared with Databricks most often are Monte Carlo (69 customers, 5 shared), Snowflake (43 customers, 7 shared), Hightouch (52 customers, 3 shared), and ThoughtSpot (61 customers, 0 shared). See all Databricks alternatives.

How does usedby know who uses Databricks?

Each company is linked to a public page that names it: Databricks's customer page, a published case study, a press release or a job post. We save each page with a dated capture and check it again on each run. A company leaves the list only after three checks in a row that no longer find it, and at least 14 days after it was last seen. A company with a published case study or quote is never removed automatically.

What do confirmed, observed and signal mean?

Confirmed (15): a case study, a named quote or a press release. Observed (11): Databricks shows the company on its own pages, for example a logo wall. Signal (12): a job post shows the company’s employees use Databricks, the weakest proof. Every level counts as a customer, and each line shows its level.

How current is this list?

The most recent check was on October 8, 2026, and 37 of 38 companies on this list have been checked so far. A company leaves the list only after three checks in a row that no longer find it, and at least 14 days after it was last seen. A company with a published case study or quote is never removed automatically.

Changes and sources

New customers

No new customer yet. Tracking of Databricks started on October 2, 2026. New customers appear after two complete checks of its pages.

Where this data comes from

Customer page databricks.com/customersCaptured Oct 2, 2026
12 case studies, quotes and press releasesLatest capture Oct 2, 2026
12 customers proven only by job postsWeakest proof, marked Signal in the list