# Databricks vs Monte Carlo: who uses which

On usedby, 38 companies use Databricks and 69 use Monte Carlo. 4 companies use both, including Mercedes Benz, Toyota and Nasdaq. 1 more company appears on both with a job post (the weakest proof) on one side, counted apart. Counts include every proof level, job-post signals included. Companies named on both have a confirmed or observed line on each side. Latest check 2026-10-08: 106 of 107 public lines checked.

## Side by side

|  | [Databricks](https://www.usedby.ai/tools/databricks.md) | [Monte Carlo](https://www.usedby.ai/tools/monte-carlo.md) |
|---|---|---|
| Public customers | 38 | 69 |
| Confirmed | 15 | 39 |
| Observed | 11 | 30 |
| Signals (job posts) | 12 | 0 |
| Top industries of customers | Fashion & Apparel (4), Fintech & Payments (4), Automotive Manufacturing (3) | Media & Publishing (4), Fintech & Payments (3), Telecommunications (3) |
| Category | Data Cloud & Analytics | Data Cloud & Analytics |
| Data processing terms | A data processing agreement is available. ([databricks.com](https://www.databricks.com/legal/privacynotice), checked 2026-10-05) | A data processing agreement is available. ([montecarlo.ai](https://montecarlo.ai/data-processing-addendum), checked 2026-10-07) |
| Free trial | Free trial or free plan available. ([databricks.com](https://www.databricks.com/product/pricing), checked 2026-10-05) | — |
| Integrations | PyCharm, VS Code ([databricks.com](https://www.databricks.com/product/data-science/ide-integrations), checked 2026-10-05) | Snowflake, Databricks, Google Big Query, Amazon Redshift, dbt, Apache Airflow, Looker, Tableau, Power BI, Slack, PagerDuty, Jira Software ([montecarlo.ai](https://montecarlo.ai/product/integrations), checked 2026-10-07) |
| 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 / DBU ([databricks.com](https://www.databricks.com/product/pricing), checked 2026-10-05) | — |
| Security | — | ISO 27001 ([trust.montecarlo.ai](https://trust.montecarlo.ai/), checked 2026-10-07) |

## Companies named on both

Confirmed or observed on each side. The first public proof is not an adoption date.

| Company | First public proof, Monte Carlo |
|---|---|
| [Mercedes Benz](https://www.usedby.ai/companies/mercedes-benz.md) | On or before October 2026 |
| [Toyota](https://www.usedby.ai/companies/toyota.md) | On or before October 2026 |
| [Nasdaq](https://www.usedby.ai/companies/nasdaq.md) | On or before May 2026 |
| [JetBlue](https://www.usedby.ai/companies/jetblue.md) | On or before June 2026 |

## Published results

Reviewed stories only; usedby did not measure the figures.

- Databricks: [Shell](https://www.usedby.ai/case-studies/shell-databricks.md): **100**: “Shell currently has over 100 AI projects running” (captured by usedby 2026-10-02)
- Databricks: [KPMG](https://www.usedby.ai/case-studies/kpmg-databricks.md): **850**: “over 850 active power users successfully utilizing Databricks” (captured by usedby 2026-10-02)

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Source: https://www.usedby.ai/compare/databricks-vs-monte-carlo · How we check: https://www.usedby.ai/methodology