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Companies change their terms without announcing it. We capture governance documents, compare each new version with the last, and publish what changed, with the source text behind it. One email a week on what we found and what we could not reach.
This page describes what the document states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability may vary by jurisdiction. Methodology
“...or any actions resulting in a denial of service”
“(c) use any means to bypass usage limitations...”
“cause harm to or violate the human rights of any person, including without limitation privacy rights”
“engage in or promote any fraudulent, corrupt, deceptive or similarly objectionable activities”
“attempt to (a) interfere with, harm, or disrupt the Databricks Services...”
“develop or offer 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...”
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.
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.
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.
Which mapped governance frameworks each document engages, tied to the specific provisions that engage them.
We withheld clauses we had published from this document. Each withholding is recorded in our correction log:
“...or any actions resulting in a denial of service”
“(c) use any means to bypass usage limitations...”
“cause harm to or violate the human rights of any person, including without limitation privacy rights”
“engage in or promote any fraudulent, corrupt, deceptive or similarly objectionable activities”
“attempt to (a) interfere with, harm, or disrupt the Databricks Services...”
“develop or offer 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...”
“(b) scrape, bulk or systematically export, or create persistent copies of any metadata generated by the Databricks Services, which prohibition includes, without limitation, exfiltration of audit logs or credentials...”
“You shall not, nor 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...”
“except as expressly authorized under the Agreement, (a) use outputs of Databricks AI services to create or improve AI systems...”
“interact with the Databricks Services through automated means (including through computer-use agents, robotic process automation, screen scraping tools or other software that simulates human interaction...), except as authorized through a Databricks validated integration”
“Access to and use of artificial intelligence or machine learning models or services in connection with the Databricks Services may be subject to applicable terms and/or use policies identified in the Documentation...”
“If you disclose, or cause the results of any Benchmark to be disclosed, you will include in such disclosure (i) all information necessary to replicate such Benchmark, and (ii) agree that we may perform and disclose the results of Benchmarks …”
Every distinct legal provision identified in this document. Featured provisions appear above with analysis.
We have not recorded a change to this document since we began capturing it. Monitor includes alerts from a daily check, structured change summaries, and monitoring for up to 20 platforms.
Need provision-level monitoring and regulatory mapping? Insight includes governance timelines, drift analysis, and full provision tracking.
Cross-platform context
See how other platforms handle Prohibition on Actions Causing Denial of Service and similar clauses.
Compare across platforms →Governance Monitoring
Structured alerts for policy changes, governance events, and provision updates across 343 platforms.