What type of partnerships does Databricks support for enhancing customer use cases?

Databricks emphasizes collaboration and integration with a diverse range of partners to enhance customer use cases. This strategy allows Databricks to offer a robust ecosystem that integrates various tools and technologies, enabling users to leverage best-in-class data solutions across different domains.

By supporting a wide range of partnerships, Databricks ensures that customers can utilize various services, from data storage solutions to advanced analytics and machine learning tools. This integrative approach helps organizations streamline their workflows, optimize their data infrastructure, and maximize the value derived from their data.

The other options are more restrictive and do not reflect the comprehensive integration approach that Databricks adopts with its partners. Exclusive partnerships would limit options available to customers, while partnerships focused solely on specific functions, such as data storage or scientific research, could hinder the overall flexibility and scalability that users might seek in their data operations. The inclusive partnership model that Databricks promotes enables greater innovation and adaptability to meet different customer needs effectively.