20 Total
13 High severity
5 Medium severity
2 Low severity

Key Facts

What does Databricks prohibit users from taking any actions resulting in?
Databricks prohibits users from taking any actions resulting in a denial of service.
What does Databricks prohibit users from using any means to do?
Databricks prohibits users from using any means to bypass usage limitations.
What does Databricks prohibit users from causing or violating?
Databricks prohibits users from causing harm to or violating the human rights of any person, including without limitation privacy rights.
What does Databricks prohibit users from engaging in or promoting?
Databricks prohibits users from engaging in or promoting any fraudulent, corrupt, deceptive, or similarly objectionable activities.
What does Databricks prohibit users from attempting to do?
Databricks prohibits users from attempting to interfere with, harm, or disrupt the Databricks Services.
What does Databricks prohibit users from developing or offering?
Databricks prohibits users from developing or offering a service, product, feature, functionality, or interface that substitutes for, replicates, replaces, or circumvents any Databricks Services or portion thereof, including through reverse engineering, intermediation, or use of outputs.
What does the prohibition on scraping and bulk exporting expressly include?
Databricks prohibits users from scraping, bulk or systematically exporting, or creating persistent copies of any metadata generated by the Databricks Services, which prohibition expressly includes exfiltration of audit logs or credentials.
Does Databricks require users not to permit third parties to use the Databricks Services to substitute for, replicate, replace, or circumvent any Databricks Services?
Databricks prohibits users, and requires users not to permit third parties, to use the Databricks Services to develop or offer a service, product, feature, functionality, or interface that substitutes for, replicates, replaces, or circumvents any Databricks Services.
What does Databricks prohibit users from using outputs of Databricks AI services to do, except as expressly authorized under the Agreement?
Databricks prohibits users, except as expressly authorized under the Agreement, from using outputs of Databricks AI services to create or improve AI systems.
How does Databricks prohibit users from interacting with the Databricks Services?
Databricks prohibits users from interacting with the Databricks Services through automated means—including computer-use agents, robotic process automation, screen scraping tools, or other software that simulates human interaction—except as authorized through a Databricks validated integration.
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Summary

This policy sets out the rules for what you can and cannot do when using Databricks Services. You cannot use the platform to attack or disrupt services, build competing products, automate interactions outside approved integrations, or harm others' rights. If you use Databricks AI features, additional terms in Databricks's Documentation may also apply to you.

Analysis

This Acceptable Use Policy establishes a comprehensive set of conduct prohibitions governing user interaction with Databricks Services, with particular emphasis on AI and automated use. Users are prohibited from any actions that cause denial-of-service outcomes, bypass usage limitations, interfere with or disrupt the Services, or use any automated means of interaction outside of a Databricks validated integration. The policy imposes broad restrictions on competitive and derivative use, prohibiting users from building substitute, replacement, or circumventing products or services—whether directly, through third parties they permit, or through use of AI outputs—except where the Agreement expressly authorizes such use. Users are additionally prohibited from causing harm to or violating the human rights of any person, engaging in fraudulent or deceptive activities, or scraping and persistently copying metadata including audit logs and credentials. A reciprocal benchmarking obligation applies to users who disclose Benchmark results.

What this means for you

As a user of Databricks Services, you are bound by a wide range of conduct restrictions: you cannot interfere with or disrupt the Services, scrape or bulk-export metadata such as audit logs or credentials, use automated tools unless authorized through a Databricks validated integration, or use AI outputs to create or improve AI systems unless the Agreement expressly permits it. You are also responsible for ensuring that any third parties you permit to use the Services comply with the same restrictions. If you use AI or machine learning features within Databricks Services, you should review the Documentation to identify any additional terms or use policies that apply to that use.

Institutional Analysis
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Which mapped governance frameworks each document engages, tied to the specific provisions that engage them.

Featured, High severity
Featured, Medium severity

Complete Provision Index

Every distinct legal provision identified in this document. Featured provisions appear above with analysis.

20 provisions
12 featured
5 clause types
13 high severity
AI / Automated Decision-Making 1
Disclosure and Transparency Requirements 1
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Mapped Governance Frameworks

CFAA
United States Federal
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Archival ProvenanceSource & Archival Record
Last Captured May 12, 2026 05:45 UTC
Capture Method Automated scheduled archival capture
Document ID CA-D-000838
Version ID CA-V-002490
SHA-256 cc0a676f2ae0fc75aef64c0e300bae16cc7487f2c7ba0ec2f0e83df3e7546c8f
✓ Snapshot stored ✓ Text extracted ✓ Change verified ✓ Hash verified

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