Which VPC Configuration Should You Use With Your Databricks Workspace?
When setting up your Databricks environment, one of the key decisions you’ll face is choosing between using your own Virtual Private Cloud (VPC) or opting for a Databricks-managed VPC. Both configurations have their merits, but understanding the differences can help you make the best choice for your needs.
Databricks-Managed VPC
Opting for a Databricks-managed VPC is like getting a pre-packaged solution that simplifies the setup process. Databricks takes care of the network configuration, reducing the initial complexity and allowing you to get started quickly. This option is ideal for teams that want to focus on data engineering tasks without diving into the intricacies of network management. However, this convenience comes at the cost of flexibility and control over your network setup.
Using Your Own VPC
On the other hand, using your own VPC offers a higher degree of customization and control. This configuration allows you to tailor the network settings to fit your organization’s specific security and compliance requirements. By managing your own VPC, you can integrate Databricks more seamlessly with your existing cloud infrastructure, ensuring that your data pipelines align with your broader IT strategy.
Why Choose Your Own VPC?
While a Databricks-managed VPC might be appealing for its simplicity, using your own VPC is generally recommended for several reasons:
Enhanced Security: You can implement your own security policies and controls, ensuring that your data remains protected according to your organization’s standards.
Integration Flexibility: A self-managed VPC allows for better integration with other cloud services and resources, providing a cohesive and efficient cloud ecosystem. This will be especially useful when trying to leverage delta sharing with external parties.
Compliance: For organizations with strict compliance requirements, having control over the network configuration is crucial to meet regulatory standards.
Conclusion
In conclusion, while a Databricks-managed VPC offers a quick and easy setup, opting for your own VPC provides the flexibility, security, and integration capabilities that many organizations require. By taking the time to configure your own VPC, you can create a robust and tailored environment that supports your data engineering goals and aligns with your overall cloud strategy.