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
The prohibition covers all metadata generated by the Services and explicitly reaches audit logs and credentials, which are operationally sensitive data types.
Readers are prohibited from scraping, bulk exporting, systematically exporting, or creating persistent copies of any metadata generated by Databricks Services, including audit logs and credentials.
How other platforms handle this
Make any automated use of the App...Use any software, technology, or device to scrape, spider, or crawl the App or harvest or manipulate data
Customer may not indicate that a product or service developed with the Software is sponsored or endorsed by NVIDIA unless expressly authorized in writing by NVIDIA.
Send messages in violation of the USA CAN-SPAM Act or any other applicable anti-spam law.
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"(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...— Excerpt from Databricks's Databricks AI Acceptable Use Policy
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The prohibition covers all metadata generated by the Services and explicitly reaches audit logs and credentials, which are operationally sensitive data types.
Readers are prohibited from scraping, bulk exporting, systematically exporting, or creating persistent copies of any metadata generated by Databricks Services, including audit logs and credentials.
ConductAtlas has identified this type of provision across 285 platforms. See the full comparison.
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