Databricks v1.75.0, Sep 11 25

Databricks v1.75.0 published on Thursday, Sep 11, 2025 by Pulumi

Databricks Provider

Databricks v1.75.0 published on Thursday, Sep 11, 2025 by Pulumi

pulumi/pulumi-databricks

Installation

The Databricks provider is available as a package in all Pulumi languages:

JavaScript/TypeScript: @pulumi/databricks
Python: pulumi-databricks
Go: github.com/pulumi/pulumi-databricks/sdk/go/databricks
.NET: Pulumi.Databricks
Java: com.pulumi/databricks

Overview

Use the Databricks Pulumi provider to interact with almost all of Databricks resources.

Example Usage

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: nodejs

import * as pulumi from "@pulumi/pulumi";
import * as databricks from "@pulumi/databricks";
import * as std from "@pulumi/std";

function notImplemented(message: string) {
    throw new Error(message);
}

const me = databricks.getCurrentUser({});
const latest = databricks.getSparkVersion({});
const smallest = databricks.getNodeType({
    localDisk: true,
});
const _this = new databricks.Notebook("this", {
    path: me.then(me => `${me.home}/Pulumi`),
    language: "PYTHON",
    contentBase64: std.abspath({
        input: notImplemented("path.module"),
    }).then(invoke => std.base64encode({
        input: `# created from ${invoke.result}
display(spark.range(10))
`,
    })).then(invoke => invoke.result),
});
const thisJob = new databricks.Job("this", {
    name: me.then(me => `Pulumi Demo (${me.alphanumeric})`),
    tasks: [{
        taskKey: "task1",
        notebookTask: {
            notebookPath: _this.path,
        },
        newCluster: {
            numWorkers: 1,
            sparkVersion: latest.then(latest => latest.id),
            nodeTypeId: smallest.then(smallest => smallest.id),
        },
    }],
});
export const notebookUrl = _this.url;
export const jobUrl = thisJob.url;

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: python

import pulumi
import pulumi_databricks as databricks
import pulumi_std as std


def not_implemented(msg):
    raise NotImplementedError(msg)

me = databricks.get_current_user()
latest = databricks.get_spark_version()
smallest = databricks.get_node_type(local_disk=True)
this = databricks.Notebook("this",
    path=f"{me.home}/Pulumi",
    language="PYTHON",
    content_base64=std.base64encode(input=f"""# created from {std.abspath(input=not_implemented("path.module")).result}
display(spark.range(10))
""").result)
this_job = databricks.Job("this",
    name=f"Pulumi Demo ({me.alphanumeric})",
    tasks=[{
        "task_key": "task1",
        "notebook_task": {
            "notebook_path": this.path,
        },
        "new_cluster": {
            "num_workers": 1,
            "spark_version": latest.id,
            "node_type_id": smallest.id,
        },
    }])
pulumi.export("notebookUrl", this.url)
pulumi.export("jobUrl", this_job.url)

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: dotnet

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Databricks = Pulumi.Databricks;
using Std = Pulumi.Std;


object NotImplemented(string errorMessage)
{
    throw new System.NotImplementedException(errorMessage);
}

return await Deployment.RunAsync(() =>
{
    var me = Databricks.GetCurrentUser.Invoke();

    var latest = Databricks.GetSparkVersion.Invoke();

    var smallest = Databricks.GetNodeType.Invoke(new()
    {
        LocalDisk = true,
    });

    var @this = new Databricks.Notebook("this", new()
    {
        Path = $"{me.Apply(getCurrentUserResult => getCurrentUserResult.Home)}/Pulumi",
        Language = "PYTHON",
        ContentBase64 = Std.Abspath.Invoke(new()
        {
            Input = NotImplemented("path.module"),
        }).Apply(invoke => Std.Base64encode.Invoke(new()
        {
            Input = @$"# created from {invoke.Result}
display(spark.range(10))
",
        })).Apply(invoke => invoke.Result),
    });

    var thisJob = new Databricks.Job("this", new()
    {
        Name = $"Pulumi Demo ({me.Apply(getCurrentUserResult => getCurrentUserResult.Alphanumeric)})",
        Tasks = new[]
        {
            new Databricks.Inputs.JobTaskArgs
            {
                TaskKey = "task1",
                NotebookTask = new Databricks.Inputs.JobTaskNotebookTaskArgs
                {
                    NotebookPath = @this.Path,
                },
                NewCluster = new Databricks.Inputs.JobTaskNewClusterArgs
                {
                    NumWorkers = 1,
                    SparkVersion = latest.Apply(getSparkVersionResult => getSparkVersionResult.Id),
                    NodeTypeId = smallest.Apply(getNodeTypeResult => getNodeTypeResult.Id),
                },
            },
        },
    });

    return new Dictionary<string, object?>
    {
        ["notebookUrl"] = @this.Url,
        ["jobUrl"] = thisJob.Url,
    };
});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: go

package main

import (
	"fmt"

	"github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi-std/sdk/go/std"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func notImplemented(message string) pulumi.AnyOutput {
	panic(message)
}

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		me, err := databricks.GetCurrentUser(ctx, map[string]interface{}{}, nil)
		if err != nil {
			return err
		}
		latest, err := databricks.GetSparkVersion(ctx, &databricks.GetSparkVersionArgs{}, nil)
		if err != nil {
			return err
		}
		smallest, err := databricks.GetNodeType(ctx, &databricks.GetNodeTypeArgs{
			LocalDisk: pulumi.BoolRef(true),
		}, nil)
		if err != nil {
			return err
		}
		invokeBase64encode, err := std.Base64encode(ctx, &std.Base64encodeArgs{
			Input: fmt.Sprintf("# created from %v\ndisplay(spark.range(10))\n", std.Abspath(ctx, &std.AbspathArgs{
				Input: notImplemented("path.module"),
			}, nil).Result),
		}, nil)
		if err != nil {
			return err
		}
		this, err := databricks.NewNotebook(ctx, "this", &databricks.NotebookArgs{
			Path:          pulumi.Sprintf("%v/Pulumi", me.Home),
			Language:      pulumi.String("PYTHON"),
			ContentBase64: pulumi.String(invokeBase64encode.Result),
		})
		if err != nil {
			return err
		}
		thisJob, err := databricks.NewJob(ctx, "this", &databricks.JobArgs{
			Name: pulumi.Sprintf("Pulumi Demo (%v)", me.Alphanumeric),
			Tasks: databricks.JobTaskArray{
				&databricks.JobTaskArgs{
					TaskKey: pulumi.String("task1"),
					NotebookTask: &databricks.JobTaskNotebookTaskArgs{
						NotebookPath: this.Path,
					},
					NewCluster: &databricks.JobTaskNewClusterArgs{
						NumWorkers:   pulumi.Int(1),
						SparkVersion: pulumi.String(latest.Id),
						NodeTypeId:   pulumi.String(smallest.Id),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		ctx.Export("notebookUrl", this.Url)
		ctx.Export("jobUrl", thisJob.Url)
		return nil
	})
}

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: yaml

Example currently unavailable in this language

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: java

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.databricks.DatabricksFunctions;
import com.pulumi.databricks.inputs.GetSparkVersionArgs;
import com.pulumi.databricks.inputs.GetNodeTypeArgs;
import com.pulumi.databricks.Notebook;
import com.pulumi.databricks.NotebookArgs;
import com.pulumi.std.StdFunctions;
import com.pulumi.std.inputs.AbspathArgs;
import com.pulumi.std.inputs.Base64encodeArgs;
import com.pulumi.databricks.Job;
import com.pulumi.databricks.JobArgs;
import com.pulumi.databricks.inputs.JobTaskArgs;
import com.pulumi.databricks.inputs.JobTaskNotebookTaskArgs;
import com.pulumi.databricks.inputs.JobTaskNewClusterArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var me = DatabricksFunctions.getCurrentUser(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference);

        final var latest = DatabricksFunctions.getSparkVersion(GetSparkVersionArgs.builder()
            .build());

        final var smallest = DatabricksFunctions.getNodeType(GetNodeTypeArgs.builder()
            .localDisk(true)
            .build());

        var this_ = new Notebook("this", NotebookArgs.builder()
            .path(String.format("%s/Pulumi", me.home()))
            .language("PYTHON")
            .contentBase64(StdFunctions.base64encode(Base64encodeArgs.builder()
                .input("""
# created from %s
display(spark.range(10))
", StdFunctions.abspath(AbspathArgs.builder()
                    .input("TODO: call notImplemented")
                    .build()).result()))
                .build()).result())
            .build());

        var thisJob = new Job("thisJob", JobArgs.builder()
            .name(String.format("Pulumi Demo (%s)", me.alphanumeric()))
            .tasks(JobTaskArgs.builder()
                .taskKey("task1")
                .notebookTask(JobTaskNotebookTaskArgs.builder()
                    .notebookPath(this_.path())
                    .build())
                .newCluster(JobTaskNewClusterArgs.builder()
                    .numWorkers(1)
                    .sparkVersion(latest.id())
                    .nodeTypeId(smallest.id())
                    .build())
                .build())
            .build());

        ctx.export("notebookUrl", this_.url());
        ctx.export("jobUrl", thisJob.url());
    }
}

Configuration Reference

Most provider arguments can be configured either directly in the provider "databricks" block or by setting an environment variable, listed for each argument below.

The provider configuration supports the following arguments:

host - (optional, environment variable DATABRICKS_HOST) The host of the Databricks account or workspace. See host argument for more information.
accountId - (required for account-level operations, environment variable DATABRICKS_ACCOUNT_ID) Account ID found in the top right corner of Accounts Console. Note: do NOT set this variable when using a workspace-level provider. If set, you may see ...invalid Databricks Account configuration errors.
azureWorkspaceResourceId - (optional, environment variable DATABRICKS_AZURE_RESOURCE_ID) id attribute of azurermDatabricksWorkspace resource. Combination of subscription id, resource group name, and workspace name. Required when authenticating using Azure MSI.

The following arguments control the provider authentication:

profile - (optional, environment variable DATABRICKS_CONFIG_PROFILE) Connection profile specified within ~/.databrickscfg. Please check connection profiles section for more details. If unspecified, the DEFAULT profile is used.
clientId - (optional, environment variable DATABRICKS_CLIENT_ID) The applicationId of the Service Principal.
clientSecret - (optional, environment variable DATABRICKS_CLIENT_SECRET) Secret of the service principal.
token - (optional, environment variable DATABRICKS_TOKEN) The API token to authenticate into the workspace.
configFile - (optional, environment variable DATABRICKS_CONFIG_FILE) Location of the Databricks CLI credentials file created by databricks configure --token command (~/.databrickscfg by default). Check Databricks CLI documentation for more details. The provider uses configuration file credentials when you don’t specify host/token/azure attributes. This field defaults to ~/.databrickscfg.
azureClientId - (optional, environment variable ARM_CLIENT_ID) This is the Azure Enterprise Application (Service principal) client id. This service principal requires contributor access to your Azure Databricks deployment.
azureTenantId - (optional, environment variable ARM_TENANT_ID) This is the Azure Active Directory Tenant id in which the Enterprise Application (Service Principal) resides.
azureEnvironment - (optional, environment variable ARM_ENVIRONMENT) This is the Azure Environment which defaults to the public cloud. Other options are german, china and usgovernment.
azureUseMsi - (optional, environment variable ARM_USE_MSI) Use Azure Managed Service Identity authentication.
googleCredentials - (optional, environment variable GOOGLE_CREDENTIALS) A GCP Service Account Credentials JSON or the path to the file containing these credentials.
googleServiceAccount - (optional, environment variable DATABRICKS_GOOGLE_SERVICE_ACCOUNT) The Google Cloud Platform (GCP) service account e-mail used for impersonation. Default Application Credentials must be configured, and the principal must be able to impersonate this service account.
authType - (optional, environment variable DATABRICKS_AUTH_TYPE) enforce specific auth type to be used in very rare cases, where a single Pulumi state manages Databricks workspaces on more than one cloud and more than one authorization method configured error is a false positive. Valid values are pat, basic (deprecated), oauth-m2m, databricks-cli, azure-client-secret, azure-msi, azure-cli, github-oidc-azure,env-oidc, file-oidc, github-oidc, google-credentials, and google-id.

The provider supports additional configuration parameters not related to authentication. They could be used when debugging problems, or do an additional tuning of provider’s behavior:

httpTimeoutSeconds - (optional) the amount of time Pulumi waits for a response from Databricks REST API. Default is 60.
rateLimit - (optional, environment variable DATABRICKS_RATE_LIMIT) defines maximum number of requests per second made to Databricks REST API by Pulumi. Default is 15.
debugTruncateBytes - (optional, environment variable DATABRICKS_DEBUG_TRUNCATE_BYTES) Applicable only when TF_LOG=DEBUG is set. Truncate JSON fields in HTTP requests and responses above this limit. Default is 96.
debugHeaders - (optional, environment variable DATABRICKS_DEBUG_HEADERS) Applicable only when TF_LOG=DEBUG is set. Debug HTTP headers of requests made by the provider. Default is false. We recommend turning this flag on only under exceptional circumstances, when troubleshooting authentication issues. Turning this flag on will log first debugTruncateBytes of any HTTP header value in cleartext.
skipVerify - skips SSL certificate verification for HTTP calls. Use at your own risk. Default is false (don’t skip verification).

!> Warning Sensitive credentials are printed to the log when debugHeaders is true. Use it for troubleshooting purposes only.

`host` argument

The host argument configures the endpoint that the Pulumi Provider for Databricks interacts with. This must be configured according to the following table:

Environment	`host`
Databricks Account on AWS	`https://accounts.cloud.databricks.com`
Databricks Account on AWS GovCloud	`https://accounts.cloud.databricks.us`
Databricks Account on AWS GovCloud DOD	`https://accounts-dod.cloud.databricks.mil`
Azure Databricks Account	`https://accounts.azuredatabricks.net`
Azure Databricks Account (US Gov)	`https://accounts.azuredatabricks.us`
Azure Databricks Account (China)	`https://accounts.azuredatabricks.cn`
Databricks Account on GCP	`https://accounts.gcp.databricks.com`
Databricks Workspace (any cloud)	`https://<workspace hostname>`

Authentication

There are currently a number of supported methods to authenticate into the Databricks platform to create resources:

(recommended for CI/CD) OpenID Connect
(recommended for local development) Databricks CLI
AWS, Azure and GCP via Databricks-managed Service Principals
GCP via Google Cloud CLI
Azure Active Directory Tokens via Azure CLI, Azure-managed Service Principals, or Managed Service Identities
PAT Tokens

Authenticating with GitHub OpenID Connect (OIDC)

The arguments host and clientId are used for the authentication which maps to the github-oidc authentication type.

These can be declared in the provider configuration or set in the environment variables DATABRICKS_HOST and DATABRICKS_CLIENT_ID respectively. Example:

Workspace level provider:

Configure the account-level provider as follows. Make sure to configure the account host as described above.

Authenticating with Databricks CLI

The provider can authenticate using the Databricks CLI. After logging in with the databricks auth login command to your account or workspace, you only need to specify the name of the profile in your provider configuration. Pulumi will automatically read and reuse the cached OAuth token to interact with the Databricks REST API. See the user-to-machine authentication guide for more details.

You can specify a CLI connection profile through profile parameter or DATABRICKS_CONFIG_PROFILE environment variable:

# Pulumi.yaml provider configuration file
name: configuration-example
runtime:
config:
    databricks:profile:
        value: ML_WORKSPACE

You can specify non-standard location of configuration file through configFile parameter or DATABRICKS_CONFIG_FILE environment variable:

# Pulumi.yaml provider configuration file
name: configuration-example
runtime:
config:
    databricks:configFile:
        value: /opt/databricks/cli-config

Authenticating with Databricks-managed Service Principal

You can use the clientId + clientSecret attributes to authenticate with a Databricks-managed service principal at both the account and workspace levels in all supported clouds. The clientId is the applicationId of the Service Principal and clientSecret is its secret. You can generate the secret from Databricks Accounts Console (see instruction) or by using the Pulumi resource databricks_service_principal_secret.

# Pulumi.yaml provider configuration file
name: configuration-example
runtime:
config:
    databricks:clientId:
        value: 'TODO: var.client_id'
    databricks:clientSecret:
        value: 'TODO: var.client_secret'
    databricks:host:
        value: https://abc-cdef-ghi.cloud.databricks.com

To create resources at both the account and workspace levels, you can create two providers as shown below:

Next, you can specify the corresponding provider when creating the resource. For example, you can use the workspace provider to create a workspace group

import * as pulumi from "@pulumi/pulumi";
import * as databricks from "@pulumi/databricks";

const clusterAdmin = new databricks.Group("cluster_admin", {
    displayName: "cluster_admin",
    allowClusterCreate: true,
    allowInstancePoolCreate: false,
});

import pulumi
import pulumi_databricks as databricks

cluster_admin = databricks.Group("cluster_admin",
    display_name="cluster_admin",
    allow_cluster_create=True,
    allow_instance_pool_create=False)

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Databricks = Pulumi.Databricks;

return await Deployment.RunAsync(() =>
{
    var clusterAdmin = new Databricks.Group("cluster_admin", new()
    {
        DisplayName = "cluster_admin",
        AllowClusterCreate = true,
        AllowInstancePoolCreate = false,
    });

});

package main

import (
	"github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := databricks.NewGroup(ctx, "cluster_admin", &databricks.GroupArgs{
			DisplayName:             pulumi.String("cluster_admin"),
			AllowClusterCreate:      pulumi.Bool(true),
			AllowInstancePoolCreate: pulumi.Bool(false),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

resources:
  clusterAdmin:
    type: databricks:Group
    name: cluster_admin
    properties:
      displayName: cluster_admin
      allowClusterCreate: true
      allowInstancePoolCreate: false

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.databricks.Group;
import com.pulumi.databricks.GroupArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var clusterAdmin = new Group("clusterAdmin", GroupArgs.builder()
            .displayName("cluster_admin")
            .allowClusterCreate(true)
            .allowInstancePoolCreate(false)
            .build());

    }
}

Authenticating with hostname and token

Databricks strongly recommends using OAuth instead of PATs for user account client authentication and authorization due to the improved security OAuth has

You can use host and token parameters to supply credentials to the workspace. When environment variables are preferred, then you can specify DATABRICKS_HOST and DATABRICKS_TOKEN instead. Environment variables are the second most recommended way of configuring this provider.

# Pulumi.yaml provider configuration file
name: configuration-example
runtime:
config:
    databricks:host:
        value: https://<workspace hostname>
    databricks:token:
        value: dapitokenhere

Authenticating with Workload Identity Federation (WIF)

Workload Identity Federation can be used to authenticate Databricks from automated workflows. This is done through the tokens issued by the automation environment. For more details on environment variables regarding the specific environments, please see: https://docs.databricks.com/aws/en/dev-tools/auth/oauth-federation-provider.

To create resources at both the account and workspace levels, you can create two providers as shown below:

Workspace level provider:

Account level provider:

Note: authType for Github Actions would be “github-oidc”. For more details, please see the document linked above.

Special configurations for Azure

The below Azure authentication options are supported at both the account and workspace levels. The provider works with Azure CLI authentication to facilitate local development workflows, though for automated scenarios, managed identity or service principal auth is recommended (and specification of azureUseMsi, azureClientId, azureClientSecret and azureTenantId parameters).

Authenticating with Azure MSI

Since v0.3.8, it’s possible to leverage Azure Managed Service Identity authentication, which is using the same environment variables as azurerm provider. Both SystemAssigned and UserAssigned identities work, as long as they have Contributor role on subscription level and created the workspace resource, or directly added to workspace through databricks_service_principal.

# Pulumi.yaml provider configuration file
name: configuration-example
runtime:
config:
    databricks:azureUseMsi:
        value: true
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: data.azurerm_databricks_workspace.this.workspace_url'

Authenticating with Azure-managed Service Principal using GitHub OpenID Connect (OIDC)

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: nodejs
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    azure:useOidc:
        value: true
    databricks:authType:
        value: github-oidc-azure
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
import * as databricks from "@pulumi/databricks";

const _this = new azure.databricks.Workspace("this", {
    location: "centralus",
    name: "my-workspace-name",
    resourceGroupName: resourceGroup,
    sku: "premium",
});
const my_user = new databricks.User("my-user", {userName: "test-user@databricks.com"});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: python
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    azure:useOidc:
        value: true
    databricks:authType:
        value: github-oidc-azure
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

import pulumi
import pulumi_azure as azure
import pulumi_databricks as databricks

this = azure.databricks.Workspace("this",
    location="centralus",
    name="my-workspace-name",
    resource_group_name=resource_group,
    sku="premium")
my_user = databricks.User("my-user", user_name="test-user@databricks.com")

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: dotnet
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    azure:useOidc:
        value: true
    databricks:authType:
        value: github-oidc-azure
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
using Databricks = Pulumi.Databricks;

return await Deployment.RunAsync(() =>
{
    var @this = new Azure.DataBricks.Workspace("this", new()
    {
        Location = "centralus",
        Name = "my-workspace-name",
        ResourceGroupName = resourceGroup,
        Sku = "premium",
    });

    var my_user = new Databricks.User("my-user", new()
    {
        UserName = "test-user@databricks.com",
    });

});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: go
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    azure:useOidc:
        value: true
    databricks:authType:
        value: github-oidc-azure
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/databricks"
	godatabricks "github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := databricks.NewWorkspace(ctx, "this", &databricks.WorkspaceArgs{
			Location:          pulumi.String("centralus"),
			Name:              pulumi.String("my-workspace-name"),
			ResourceGroupName: pulumi.Any(resourceGroup),
			Sku:               pulumi.String("premium"),
		})
		if err != nil {
			return err
		}
		_, err = godatabricks.NewUser(ctx, "my-user", &godatabricks.UserArgs{
			UserName: pulumi.String("test-user@databricks.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: yaml
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    azure:useOidc:
        value: true
    databricks:authType:
        value: github-oidc-azure
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

resources:
  this:
    type: azure:databricks:Workspace
    properties:
      location: centralus
      name: my-workspace-name
      resourceGroupName: ${resourceGroup}
      sku: premium
  my-user:
    type: databricks:User
    properties:
      userName: test-user@databricks.com

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: java
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    azure:useOidc:
        value: true
    databricks:authType:
        value: github-oidc-azure
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.databricks.Workspace;
import com.pulumi.azure.databricks.WorkspaceArgs;
import com.pulumi.databricks.User;
import com.pulumi.databricks.UserArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var this_ = new Workspace("this", WorkspaceArgs.builder()
            .location("centralus")
            .name("my-workspace-name")
            .resourceGroupName(resourceGroup)
            .sku("premium")
            .build());

        var my_user = new User("my-user", UserArgs.builder()
            .userName("test-user@databricks.com")
            .build());

    }
}

Follow the Configuring OpenID Connect in Azure. You can then use the Azure service principal to authenticate in databricks.

There are ARM_* environment variables provide a way to share authentication configuration using the databricks provider alongside the azurerm provider.

When a workspace is created using a service principal account, that service principal account is automatically added to the workspace as a member of the admins group. To add a new service principal account to an existing workspace, create a databricks_service_principal.

Authenticating with Azure CLI

It’s possible to use Azure CLI authentication, where the provider would rely on access token cached by az login command so that local development scenarios are possible. Technically, the provider will call az account get-access-token each time before an access token is about to expire.

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: nodejs
config:
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
import * as databricks from "@pulumi/databricks";

const _this = new azure.databricks.Workspace("this", {
    location: "centralus",
    name: "my-workspace-name",
    resourceGroupName: resourceGroup,
    sku: "premium",
});
const my_user = new databricks.User("my-user", {
    userName: "test-user@databricks.com",
    displayName: "Test User",
});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: python
config:
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

import pulumi
import pulumi_azure as azure
import pulumi_databricks as databricks

this = azure.databricks.Workspace("this",
    location="centralus",
    name="my-workspace-name",
    resource_group_name=resource_group,
    sku="premium")
my_user = databricks.User("my-user",
    user_name="test-user@databricks.com",
    display_name="Test User")

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: dotnet
config:
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
using Databricks = Pulumi.Databricks;

return await Deployment.RunAsync(() =>
{
    var @this = new Azure.DataBricks.Workspace("this", new()
    {
        Location = "centralus",
        Name = "my-workspace-name",
        ResourceGroupName = resourceGroup,
        Sku = "premium",
    });

    var my_user = new Databricks.User("my-user", new()
    {
        UserName = "test-user@databricks.com",
        DisplayName = "Test User",
    });

});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: go
config:
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/databricks"
	godatabricks "github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := databricks.NewWorkspace(ctx, "this", &databricks.WorkspaceArgs{
			Location:          pulumi.String("centralus"),
			Name:              pulumi.String("my-workspace-name"),
			ResourceGroupName: pulumi.Any(resourceGroup),
			Sku:               pulumi.String("premium"),
		})
		if err != nil {
			return err
		}
		_, err = godatabricks.NewUser(ctx, "my-user", &godatabricks.UserArgs{
			UserName:    pulumi.String("test-user@databricks.com"),
			DisplayName: pulumi.String("Test User"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: yaml
config:
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

resources:
  this:
    type: azure:databricks:Workspace
    properties:
      location: centralus
      name: my-workspace-name
      resourceGroupName: ${resourceGroup}
      sku: premium
  my-user:
    type: databricks:User
    properties:
      userName: test-user@databricks.com
      displayName: Test User

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: java
config:
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.databricks.Workspace;
import com.pulumi.azure.databricks.WorkspaceArgs;
import com.pulumi.databricks.User;
import com.pulumi.databricks.UserArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var this_ = new Workspace("this", WorkspaceArgs.builder()
            .location("centralus")
            .name("my-workspace-name")
            .resourceGroupName(resourceGroup)
            .sku("premium")
            .build());

        var my_user = new User("my-user", UserArgs.builder()
            .userName("test-user@databricks.com")
            .displayName("Test User")
            .build());

    }
}

Authenticating with Azure-managed Service Principal using Client Secret

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: nodejs
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:clientSecret:
        value: 'TODO: var.client_secret'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureClientSecret:
        value: 'TODO: var.client_secret'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
import * as databricks from "@pulumi/databricks";

const _this = new azure.databricks.Workspace("this", {
    location: "centralus",
    name: "my-workspace-name",
    resourceGroupName: resourceGroup,
    sku: "premium",
});
const my_user = new databricks.User("my-user", {userName: "test-user@databricks.com"});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: python
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:clientSecret:
        value: 'TODO: var.client_secret'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureClientSecret:
        value: 'TODO: var.client_secret'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

import pulumi
import pulumi_azure as azure
import pulumi_databricks as databricks

this = azure.databricks.Workspace("this",
    location="centralus",
    name="my-workspace-name",
    resource_group_name=resource_group,
    sku="premium")
my_user = databricks.User("my-user", user_name="test-user@databricks.com")

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: dotnet
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:clientSecret:
        value: 'TODO: var.client_secret'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureClientSecret:
        value: 'TODO: var.client_secret'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
using Databricks = Pulumi.Databricks;

return await Deployment.RunAsync(() =>
{
    var @this = new Azure.DataBricks.Workspace("this", new()
    {
        Location = "centralus",
        Name = "my-workspace-name",
        ResourceGroupName = resourceGroup,
        Sku = "premium",
    });

    var my_user = new Databricks.User("my-user", new()
    {
        UserName = "test-user@databricks.com",
    });

});

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: go
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:clientSecret:
        value: 'TODO: var.client_secret'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureClientSecret:
        value: 'TODO: var.client_secret'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/databricks"
	godatabricks "github.com/pulumi/pulumi-databricks/sdk/go/databricks"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := databricks.NewWorkspace(ctx, "this", &databricks.WorkspaceArgs{
			Location:          pulumi.String("centralus"),
			Name:              pulumi.String("my-workspace-name"),
			ResourceGroupName: pulumi.Any(resourceGroup),
			Sku:               pulumi.String("premium"),
		})
		if err != nil {
			return err
		}
		_, err = godatabricks.NewUser(ctx, "my-user", &godatabricks.UserArgs{
			UserName: pulumi.String("test-user@databricks.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: yaml
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:clientSecret:
        value: 'TODO: var.client_secret'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureClientSecret:
        value: 'TODO: var.client_secret'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

resources:
  this:
    type: azure:databricks:Workspace
    properties:
      location: centralus
      name: my-workspace-name
      resourceGroupName: ${resourceGroup}
      sku: premium
  my-user:
    type: databricks:User
    properties:
      userName: test-user@databricks.com

# Pulumi.yaml provider configuration file
name: configuration-example
runtime: java
config:
    azure:clientId:
        value: 'TODO: var.client_id'
    azure:clientSecret:
        value: 'TODO: var.client_secret'
    azure:subscriptionId:
        value: 'TODO: var.subscription_id'
    azure:tenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureClientId:
        value: 'TODO: var.client_id'
    databricks:azureClientSecret:
        value: 'TODO: var.client_secret'
    databricks:azureTenantId:
        value: 'TODO: var.tenant_id'
    databricks:azureWorkspaceResourceId:
        value: 'TODO: azurerm_databricks_workspace.this.id'
    databricks:host:
        value: 'TODO: azurerm_databricks_workspace.this.workspace_url'

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.databricks.Workspace;
import com.pulumi.azure.databricks.WorkspaceArgs;
import com.pulumi.databricks.User;
import com.pulumi.databricks.UserArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var this_ = new Workspace("this", WorkspaceArgs.builder()
            .location("centralus")
            .name("my-workspace-name")
            .resourceGroupName(resourceGroup)
            .sku("premium")
            .build());

        var my_user = new User("my-user", UserArgs.builder()
            .userName("test-user@databricks.com")
            .build());

    }
}

There are ARM_* environment variables provide a way to share authentication configuration using the databricks provider alongside the azurerm provider.

Special configurations for GCP

The provider works with Google Cloud CLI authentication to facilitate local development workflows. For automated scenarios, a service principal auth is necessary using googleServiceAccount parameter with impersonation and Application Default Credentials. Alternatively, you could provide the service account key directly by passing it to googleCredentials parameter (or GOOGLE_CREDENTIALS environment variable)

Special configuration for Unity Catalog

Except for metastore, metastore assignment and storage credential objects, Unity Catalog APIs are accessible via workspace-level APIs. This design may change in the future.

If you are configuring a new Databricks account for the first time, please create at least one workspace with an identity (user or service principal) that you intend to use for Unity Catalog rollout. You can then configure the provider using that identity and workspace to provision the required Unity Catalog resources.

Special considerations for Unity Catalog Resources

When performing a single pulumi up to update both the owner and other fields for Unity Catalog resources, the process first updates the owner, followed by the other fields using the new owner’s permissions. If your principal is not the owner (specifically, the newly updated owner), you will not have the authority to modify those fields. In cases where you wish to change the owner to another individual and also update other fields, we recommend initially updating the fields using your principal, which should have owner permissions, and then updating the owner in a separate step.

Databricks v1.75.0 published on Thursday, Sep 11, 2025 by Pulumi

pulumi/pulumi-databricks

Databricks Provider

On this page

On this page

Installation

Overview

Example Usage

Configuration Reference

`host` argument

Authentication

Authenticating with GitHub OpenID Connect (OIDC)

Authenticating with Databricks CLI

Authenticating with Databricks-managed Service Principal

Authenticating with hostname and token

Authenticating with Workload Identity Federation (WIF)

Special configurations for Azure

Authenticating with Azure MSI

Authenticating with Azure-managed Service Principal using GitHub OpenID Connect (OIDC)

Authenticating with Azure CLI

Authenticating with Azure-managed Service Principal using Client Secret

Special configurations for GCP

Special configuration for Unity Catalog

Special considerations for Unity Catalog Resources

On this page

On this page

Databricks Provider

On this page

On this page

Installation

Overview

Example Usage

Configuration Reference

host argument

Authentication

Authenticating with GitHub OpenID Connect (OIDC)

Authenticating with Databricks CLI

Authenticating with Databricks-managed Service Principal

Authenticating with hostname and token

Authenticating with Workload Identity Federation (WIF)

Special configurations for Azure

Authenticating with Azure MSI

Authenticating with Azure-managed Service Principal using GitHub OpenID Connect (OIDC)

Authenticating with Azure CLI

Authenticating with Azure-managed Service Principal using Client Secret

Special configurations for GCP

Special configuration for Unity Catalog

Special considerations for Unity Catalog Resources

On this page

On this page

`host` argument