Databricks · Databricks Terms of Service · View original document ↗

Exclusion of Indirect and Consequential Damages

High severity High confidence Explicitdocumentlanguage Common · 289 of 352 platforms
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This analysis describes what Databricks's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Excluding this entire category of damages means users cannot recover for losses such as lost profits, lost data, or downstream harm, regardless of how those losses arise.

Consumer impact (what this means for users)

Users cannot recover special, indirect, incidental, exemplary, consequential, or punitive damages from Databricks or any of its directors, employees, agents, or suppliers.

How other platforms handle this

Tinder Medium

TINDER ASSUMES NO RESPONSIBILITY FOR ANY CONTENT THAT YOU OR ANOTHER USER OR THIRD PARTY POSTS, SENDS, RECEIVES, AND/OR ACTS ON THROUGH OUR SERVICES, NOR DOES TINDER ASSUME ANY RESPONSIBILITY FOR THE IDENTITY, INTENTIONS...

Perplexity AI Medium

we do not warrant that Offering descriptions are accurate, complete, reliable, current, or error-free.

Skillshare Medium

Please note that these third parties are responsible for their own privacy practices.

See all platforms with this clause type →

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▸ View Original Clause Language DOCUMENT RECORD
"
IN NO EVENT WILL DATABRICKS OR ANY OF ITS DIRECTORS, EMPLOYEES, AGENTS OR SUPPLIERS BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, EXEMPLARY, CONSEQUENTIAL OR PUNITIVE DAMAGES OF ANY KIND...

— Excerpt from Databricks's Databricks Terms of Service

Applicable regulations

FTC Act Section 5
United States Federal

Provision details

Document information
Document
Databricks Terms of Service
Entity
Databricks
Document last updated
May 5, 2026
Tracking information
First tracked
May 10, 2026
Last verified
May 10, 2026
Record ID
CA-P-046700
Document ID
CA-D-00459
Evidence Provenance
Source URL
https://www.databricks.com/legal/terms-of-use
Wayback Machine
View archived versions →
Content hash (SHA-256)
adf59526e7670e551d2b345f6ac61b05e8e4cfa521993a4c0f8771d09b909df3
Analysis generated
May 10, 2026 02:08 UTC
Methodology
summarize_document-v8
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Databricks
Document: Databricks Terms of Service
Record ID: CA-P-046700
Captured: 2026-05-10 02:08:03 UTC
SHA-256: adf59526e7670e55…
URL: https://conductatlas.com/platform/databricks/databricks-terms-of-service/provision/CA-P-046700/exclusion-of-indirect-and-consequential-damages/
Accessed: July 13, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories
Liability limitation

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Frequently Asked Questions

What does Databricks's Exclusion of Indirect and Consequential Damages clause do?

Excluding this entire category of damages means users cannot recover for losses such as lost profits, lost data, or downstream harm, regardless of how those losses arise.

How does this clause affect you?

Users cannot recover special, indirect, incidental, exemplary, consequential, or punitive damages from Databricks or any of its directors, employees, agents, or suppliers.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 289 platforms. See the full comparison.

Is ConductAtlas affiliated with Databricks?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Databricks.