Get started: Account and workspace setup

If you’re new to Azure Databricks, you’ve found the place to start. This article walks you through the minimum steps required to create your account and get your first workspace up and running.

For information about online training resources, see Get free Databricks training.

Create an Azure Databricks workspace

Databricks recommends you deploy your first Azure Databricks workspace using the Azure portal. You can also deploy Azure Databricks with one of the following options:


When you create your Azure Databricks workspace, you can select the Trial (Premium - 14-Days Free DBUs) pricing tier to give the workspace access to free Premium Azure Databricks DBUs for 14 days.

Before you begin

Use the portal to create an Azure Databricks workspace

  1. In the Azure portal, select Create a resource > Analytics > Azure Databricks.

  2. Under Azure Databricks Service, provide the values to create a Databricks workspace.

    Property Description
    Workspace name Provide a name for your Databricks workspace
    Subscription From the drop-down, select your Azure subscription.
    Resource group Specify whether you want to create a new resource group or use an existing one. A resource group is a container that holds related resources for an Azure solution. For more information, see Azure Resource Group overview.
    Location Select West US 2. For other available regions, see Azure services available by region.
    Pricing Tier Choose between Standard, Premium, or Trial. For more information on these tiers, see Databricks pricing page.
  3. Select Review + Create, and then Create. The workspace creation takes a few minutes. During workspace creation, you can view the deployment status in Notifications. Once this process is finished, your user account is automatically added as an admin user in the workspace.


When a workspace deployment fails, the workspace is still created in a failed state. Delete the failed workspace and create a new workspace that resolves the deployment errors. When you delete the failed workspace, the managed resource group and any successfully deployed resources are also deleted.

Next steps

Your next steps depend on whether you want to continue setting up your account organization and security or want to start building out data pipelines:

Get help

If you have any questions about setting up Azure Databricks and need live help, please e-mail

If you have an Azure Databricks support package, you can open and manage support cases with Azure Databricks. See Learn how to use Databricks support.

If your organization does not have a Azure Databricks support subscription, or if you are not an authorized contact for your company’s support subscription, you can get answers to many questions in Databricks Office Hours or from the Databricks Community.

If you need additional help, sign up for a live weekly demo to ask questions and practice alongside Databricks experts. Or, follow this blog series on best practices for managing and maintaining your environments.