Would it make sense to run Databricks CLI scripts from an Azure VM?

Whether it makes sense to run Databricks CLI scripts from an Azure VM depends on your specific needs and workflow. Both options have their pros and cons, which I'll break down below to help you decide.

Running Databricks CLI scripts from an Azure VM:
Pros:
  • Flexibility: Gives you full control over the script execution environment and access to system resources on the VM.
  • Offline capabilities: Enables script execution even if the Databricks workspace is unavailable.
  • Integration with other tools: Allows easier integration with other Azure services and tools running on the VM.
Cons:
  • Management overhead: Requires managing the VM instance itself, including provisioning, maintenance, and security updates.
  • Potential cost: Incurred cost for running the VM instance, even if not actively used for script execution.
  • Network access: Needs secure network configuration to access the Databricks workspace securely.
Running Databricks CLI scripts directly from the Databricks workspace:
Pros:
  • Simple and convenient: No need to manage a separate VM, simplifying script execution and maintenance.
  • Scalability: Leverages the resources of the Databricks cluster for efficient script execution.
  • Security: Built-in security features of the Databricks workspace for secure access and data management.
Cons:
  • Limited control: Less control over the execution environment compared to an Azure VM.
  • Online dependency: Requires the Databricks workspace to be online for script execution.
  • Integration complexity: Integrating with other Azure services might involve additional setup and configuration.

So, when would one approach be preferable over the other?

Choose an Azure VM if:
  • You need full control over the execution environment and want to integrate with other tools running on the VM.
  • You require offline script execution capabilities.
  • Your script is resource-intensive and benefits from dedicated VM resources.
Choose Databricks workspace if:
  • You prefer a simple and convenient way to execute your scripts without managing a separate VM.
  • Your script benefits from the scalability and resources of the Databricks cluster.
  • Security and data management within the Databricks platform are major concerns.

Ultimately, the best choice depends on your specific needs, priorities, and workflow. Consider the pros and cons of each approach and evaluate which one aligns best with your situation.