Are Azure Databricks CLI scripts compatible on other clouds like AWS or Google?

Unfortunately, Azure Databricks CLI scripts are not directly compatible with other cloud platforms like AWS or Google Cloud Platform when running Databricks on those platforms. While the core functionalities and overall structure of the CLI might be similar, there are key differences in:

• Command names and parameters: Some commands and their parameters might have different names or slightly different usage syntax between cloud platforms.
• API endpoints: The Azure-specific API endpoints used in the CLI scripts won't work on other cloud platforms. Each platform requires specific API endpoints for Databricks functionality.
• Authentication mechanisms: Azure Databricks uses Azure Active Directory (AAD) for authentication, while AWS and GCP have their own authentication mechanisms. The CLI scripts need to be adjusted to use the appropriate authentication method for each platform.
• Resource names and identifiers: Cluster IDs, workspace names, and other resource identifiers might be formatted differently and have platform-specific conventions.

However, the core principles and basic operations of the CLI should remain similar across platforms. With some adjustments and modifications, you can potentially port or rewrite your Azure Databricks CLI scripts to work on AWS or GCP Databricks. Here are some approaches you can consider:

• Manual adjustments: Identify the platform-specific differences in command names, parameters, and resource identifiers, and manually update your scripts accordingly.
• Conditional logic: Implement conditional logic within your scripts to switch between specific commands and configurations based on the cloud platform detected.
• Use libraries and APIs: Utilize platform-specific libraries and APIs offered by the respective Databricks CLI tools on each cloud platform for more robust compatibility.
• Community tools: Explore community-developed tools and libraries that aim to provide cross-platform compatibility for Databricks CLI commands.

It's important to note that adapting scripts requires technical expertise and knowledge of the specific CLI features and differences between cloud platforms. Consider your comfort level and the complexity of your scripts before attempting manual adjustments. Depending on the complexity and scope of your scripts, it might be easier to rewrite them using the native CLI for the target platform.

Remember, carefully evaluate the feasibility and effort involved in porting your scripts before investing time and resources. For larger or complex scripts, seeking professional assistance or utilizing platform-specific libraries might be a more efficient approach.