Your use of the Databricks Services is subject to this Acceptable Use Policy (“AUP”). Any capitalized terms used but not defined herein shall have the meaning set forth in the applicable agreement between you and Databricks.

You shall not, nor permit third parties to use the Databricks Services to:

1. develop or offer a service made available to any third party that could reasonably be seen to serve as a substitute for such third party’s possible purchase of any Databricks product or service;
2. attempt to (a) interfere with, harm, or disrupt the Databricks Services, or (b) permit or gain access to the Databricks Services or connected or related Systems except as expressly authorized under the Agreement, or (c) use any means to bypass usage limitations;
3. abuse or violate the security or integrity of any system of any party, including, without limitation, by storing, transmitting or installing malicious code;
4. engage in or promote any fraudulent, corrupt, deceptive or similarly objectionable activities;
5. cause harm to or violate the human rights of any person, including without limitation privacy rights; or
6. process, store, or transmit data or content in violation of any law or any third party rights.

You may perform benchmark tests (“Benchmark”) of the Databricks Services. Except with respect to Beta Services, you may disclose the results of the Benchmark.  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 of your products or services included in such disclosure, irrespective of any restrictions on Benchmarks in the terms governing your products or services.

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 (Databricks on AWS, Databricks on Google Cloud) or upon an Authorized User's access to such models or services.

The AUP may be updated by Databricks from time to time upon reasonable notice, which may be provided through the Databricks Services or by publishing an updated online version of the AUP.

 

Last modified: April 14, 2025