Based on the information provided in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, the following analytical platforms offer a licensing model that allows other companies to use a licensed version of their tool on their platforms:

1. Databricks: Databricks allows other companies to use a licensed version of their tool. For example, Microsoft provides an Azure version of Databricks.
2. DataRobot: DataRobot offers its AI platform, which can be integrated with other cloud providers and platforms, allowing for licensed use on different environments.
3. Cloudera: Cloudera provides a unified data and DSML platform that can be deployed in hybrid cloud, multicloud, and on-premises environments, enabling licensed use on various platforms.
4. IBM (watsonx): IBM's watsonx platform is designed to be open and flexible, allowing integration with various cloud providers and on-premises solutions through licensing agreements.
5. SAS (SAS Viya): SAS Viya is a scalable DSML platform that can be deployed on various cloud providers and on-premises environments, offering a licensing model for use on different platforms.

These platforms provide the flexibility and integration capabilities that allow other companies to use licensed versions of their tools on their own platforms, similar to how Databricks and Azure operate.