def METHOD_NAME(name: Optional[str] = None,
                  resource_group_name: Optional[str] = None,
                  workspace_name: Optional[str] = None,
                  opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetDatastoreResult:
    """
    Azure Resource Manager resource envelope.
    :param str name: Datastore name.
    :param str resource_group_name: The name of the resource group. The name is case insensitive.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
    __args__ = dict()
    __args__['name'] = name
    __args__['resourceGroupName'] = resource_group_name
    __args__['workspaceName'] = workspace_name
    opts = pulumi.InvokeOptions.merge(_utilities.get_invoke_opts_defaults(), opts)
    __ret__ = pulumi.runtime.invoke('azure-native:machinelearningservices/v20230401:getDatastore', __args__, opts=opts, typ=GetDatastoreResult).value
    return AwaitableGetDatastoreResult(
        datastore_properties=pulumi.get(__ret__, 'datastore_properties'),
        id=pulumi.get(__ret__, 'id'),
        name=pulumi.get(__ret__, 'name'),
        system_data=pulumi.get(__ret__, 'system_data'),
        type=pulumi.get(__ret__, 'type'))