Which Cloud Platform Do You Use for Databricks?

[Anushree_Tatode]

Which cloud platform do you primarily use Databricks on? Is it AWS, Azure, or Google Cloud? Let us know why it's your platform of choice! Whether it's for performance or specific features, we’d love to hear your reasoning. Share your thoughts in the comments below!

[Sanjeeb2024]

We are using Databricks on AWS. The main reason is the existing data platform is on AWS, so we want to shift the processing part to AWS which will help in reducing the integration with different source systems.

[Sujitha]

That's good to know @Sanjeeb2024 

[navallyemul]

I primarily use Databricks on Azure. The main reasons are its seamless integration with other Azure services like Azure Data Lake Storage (ADLS) and Azure Data Factory, which makes data ingestion, storage, and processing straightforward and efficient. Azure's strong support for enterprise security features, such as Azure Active Directory and Role-Based Access Control (RBAC), also aligns well with data governance requirements in enterprise projects.

[Sujitha]

Interesting @navallyemul 
Let us know if you have any tips or specific use cases you would like to share, it could be helpful for others in the community!

[giri_2024]

I am Using Azure Databricks, and also Community Version of Databricks(only for practice) and I use Azure Databricks because main reason it is Serverless and it have very strong integration with ML as it is helping me to work with Data Scientists as well (as it is a Collaborative Workspace).

[Rishabh_Tiwari]

That's great to hear, @giri_2024 ! Azure Databricks' serverless capabilities and ML integration are indeed game-changers for collaborative work. Thanks for sharing your experience!