> ## Documentation Index
> Fetch the complete documentation index at: https://docs.maia.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure Queue Storage Message

export const ComponentMetadata = ({warehouses, unsupportedWarehouses = [], componentType, connectionInputs, connectionOutputs}) => {
  const allWarehouses = [...warehouses.map(w => ({
    name: w,
    supported: true
  })), ...unsupportedWarehouses.map(w => ({
    name: w,
    supported: false
  }))];
  return <div style={{
    background: 'var(--colors-background-light, #f9fafb)',
    border: '1px solid var(--colors-border-default, #e5e7eb)',
    borderRadius: '12px',
    padding: '20px 28px',
    marginBottom: '28px',
    boxShadow: '0 1px 4px rgba(0,0,0,0.10)'
  }}>
      <table style={{
    width: '100%',
    borderCollapse: 'collapse'
  }}>
        <tbody>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    paddingBottom: '14px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle',
    width: '180px'
  }}>Project Availability</td>
            <td style={{
    paddingBottom: '14px',
    verticalAlign: 'middle'
  }}>
              <div style={{
    display: 'flex',
    flexWrap: 'wrap',
    gap: '8px'
  }}>
                {allWarehouses.map((w, i) => <span key={i} style={{
    background: w.supported ? '#dcfce7' : '#fee2e2',
    color: w.supported ? '#15803d' : '#b91c1c',
    border: `1px solid ${w.supported ? '#bbf7d0' : '#fca5a5'}`,
    borderRadius: '9999px',
    padding: '3px 12px',
    fontSize: '0.85rem',
    fontWeight: '500',
    whiteSpace: 'nowrap'
  }}>
                    {w.name} {w.supported ? '✅' : '❌'}
                  </span>)}
              </div>
            </td>
          </tr>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    paddingBottom: '14px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle'
  }}>Component Type</td>
            <td style={{
    paddingBottom: '14px',
    verticalAlign: 'middle'
  }}>{componentType}</td>
          </tr>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    paddingBottom: '14px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle'
  }}>Connection Inputs</td>
            <td style={{
    paddingBottom: '14px',
    verticalAlign: 'middle'
  }}>{connectionInputs}</td>
          </tr>
          <tr>
            <td style={{
    fontWeight: '600',
    paddingRight: '32px',
    whiteSpace: 'nowrap',
    verticalAlign: 'middle'
  }}>Connection Outputs</td>
            <td style={{
    verticalAlign: 'middle'
  }}>{connectionOutputs}</td>
          </tr>
        </tbody>
      </table>
    </div>;
};

<ComponentMetadata warehouses={["Snowflake", "Databricks", "Google BigQuery"]} unsupportedWarehouses={["Amazon Redshift"]} componentType="Orchestration, Test" connectionInputs="One" connectionOutputs="Unlimited" />

Azure Queue Storage Message is an orchestration component that lets you post a message to [Azure Queue Storage](https://azure.microsoft.com/en-gb/services/storage/queues/). Other applications can read those messages and perform further processing.

If the component requires access to a cloud provider (AWS, Azure, or Google Cloud), it will use credentials as follows:

* If using [Matillion Full SaaS](/docs/guides/runner-overview#matillion-full-saas): The component will use the [cloud credentials](/docs/guides/cloud-credentials) associated with your environment to access resources.
* If using [Hybrid SaaS](/docs/guides/runner-overview#hybrid-saas): By default the component will inherit the agent's execution role (service account role). However, if there are [cloud credentials](/docs/guides/cloud-credentials) associated to your environment, these will overwrite the role.

<Note>
  To use this component, your Azure account must have the role **AQS Storage Queue Data Message Sender** assigned. Read [Assign Azure roles using the Azure portal](https://learn.microsoft.com/en-gb/azure/role-based-access-control/role-assignments-portal) in the Azure documentation for details.
</Note>

## Properties

<ResponseField name="Name" type="string" required>
  A human-readable name for the component.
</ResponseField>

{/* <!-- param-start:[storageAccount] | warehouses: [snowflake, databricks, bigquery] --> */}

<ResponseField name="Storage account" type="drop-down" required>
  The name of the Azure storage account that contains your queue. The drop-down shows storage accounts available to the Azure account configured in [Cloud provider credentials](/docs/guides/cloud-credentials). Only storage accounts of the kind **Storage** or **StorageV2** can be used for queues.
</ResponseField>

{/* <!-- param-start:[queue] | warehouses: [snowflake, databricks, bigquery] --> */}

<ResponseField name="Queue" type="drop-down" required>
  The name of the queue to write to. Available queues for the selected storage account are listed.
</ResponseField>

{/* <!-- param-start:[message] | warehouses: [snowflake, databricks, bigquery] --> */}

<ResponseField name="Message" type="string" required>
  The message to post to the designated queue. This can include [project and pipeline variables](/docs/guides/variables) to be resolved at runtime.

  To use variables in this field, type the name of the variable prefixed by the dollar symbol and surrounded by \{ } brackets, as follows: `${variable}`. Once you type `${`, a drop-down list of autocompleted suggested variables will appear. This list updates as you type; for example, if you type `${date`, functions and variables containing `date` will be listed.
</ResponseField>

{/* <!-- param-start:[messageFormat] | warehouses: [snowflake, databricks, bigquery] --> */}

<ResponseField name="Message format" type="drop-down" required>
  Messages may be **Plain** or **Base64** encoded.
</ResponseField>