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Showing content from https://docs.databricks.com/aws/en/admin/workspace/ below:

Create a workspace | Databricks Documentation

This article is an overview of your options for creating and managing workspaces.

A workspace is a Databricks deployment in a cloud service account. It provides a unified environment for working with Databricks assets for a specified set of users.

There are two types of Databricks workspaces available:

• Serverless workspaces (Public Preview): A workspace deployment in your Databricks account that comes pre-configured with serverless compute and default storage to provide a completely serverless experience. Can still connect to your cloud storage.
• Traditional workspaces: A workspace deployment in your Databricks account that provisions storage and compute resources in your existing cloud account. Serverless compute is still available in traditional workspaces.

The following sections describe which workspace type is best for common use cases. Use these recommendations to help you decide whether you should deploy a serverless or traditional workspace.

Serverless workspaces are the best choice for the following use cases:

• Enable business users to access Databricks One
• Create AI/BI dashboards
• Create Databricks Apps
• Perform exploratory analytics using notebooks or SQL warehouses
• Connect to SaaS providers via Lakehouse Federation (but not Lakeflow Connect)
• Use Genie Spaces for business use cases
• Test new Mosaic AI features before moving them into production
• Create serverless Lakeflow Declarative Pipelines

Traditional workspaces are the best choice for the following use cases:

• Do AI or ML development work that requires GPUs
• Use Databricks Runtime for Machine Learning or Apache Spark MLib
• Port over existing legacy Spark code that uses Spark RDDs
• Use Scala or R as your primary coding language
• Stream data that requires default or time-based trigger intervals
• Connect to the Databricks APIs over a PrivateLink connection
• Connect to on-premises systems or private databases directly, through Lakeflow Connect

You can deploy workspaces from your Databricks account console, the Account API, or Terraform. Use the following pages to help you deploy workspaces:

• Create a serverless workspace
• Create a traditional workspace using the AWS Quick Start (Recommended)
• Create a workspace with custom AWS configurations
• Manually create a workspace (existing Databricks accounts)
• Create a workspace using the Account API
• Create Databricks workspaces using Terraform

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