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SQL Server Analysis Services Icon SQL Analysis Services ODBC Driver

The SQL Analysis Services ODBC Driver is a powerful tool that allows you to connect with live data from SQL Analysis Services, directly from any applications that support ODBC connectivity.

Access Analysis Services report data like you would a database, through a standard ODBC Driver interface. Supports Direct Query and MDX query capabilities.

Establish a Live Connection with SQL Analysis Services Data using Tableau Bridge



The CData ODBC Driver for SQL Analysis Services enables you to integrate live SQL Analysis Services data into Tableau Cloud dashboards using the Tableau Bridge.

The Tableau Bridge enables you to publish dashboards to Tableau Cloud while maintaining live connectivity with any data source. In this article, you will use the Tableau Bridge to maintain data freshness in a published workbook by listening for changes in the underlying SQL Analysis Services data.

The CData ODBC drivers offer unmatched performance for interacting with live SQL Analysis Services data in Tableau Cloud due to optimized data processing built into the driver. When you issue complex SQL queries from Tableau Cloud to SQL Analysis Services, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Analysis Services and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze SQL Analysis Services data using native Tableau data types.

Connect to SQL Analysis Services as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

  • HTTP Authentication

    Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

  • Windows (NTLM)

    Set the Windows User and Password and set AuthScheme to "NTLM".

  • Kerberos and Kerberos Delegation

    To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

  • SSL/TLS:

    By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Add SQL Analysis Services Data to a Dashboard

  1. From a new workbook, click Data -> New Data Source -> Other Databases (ODBC).
    Select the CData Data Source Name (for example: CData SSAS Source).
  2. In the Database menu, select CData.
  3. In the Table box, enter a table name or click New Custom SQL to enter an SQL query. This article retrieves the Adventure_Works table.
  4. Drag the table onto the join area. At this point, you can include multiple tables, leveraging the built-in SQL engine to process complex data requests.
  5. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, which you can drag and drop onto the dashboard to create visualizations.

Set Up Tableau Bridge as a Service

  1. In the Server menu, select Start Tableau Bridge Client.
  2. Sign in to the Tableau Bridge using a site admin level account.
  3. If prompted, select the Tableau Cloud site where you want to publish live data. The bridge client will open and is accessible from the system tray.
  4. By default, the Tableau Bridge client is set to Application mode. Select 'Switch to service' to enable Tableau Bridge to handle live connections.
  5. Log in to your Tableau Cloud site as an administrator.
  6. From your site, click Settings, then Bridge.
  7. In the Bridge settings, under Enable Clients to Maintain Live Connections, check the box labeled 'Enable Tableau Bridge clients to maintain live connections to on-premises data.'

Publish a Dashboard Containing the Live Data Source

Having configured both the Tableau Bridge and Tableau Cloud to enable live data connections, you can now publish your workbook to Tableau Cloud. From the Server menu, select Publish Workbook.

After choosing the workbook name and project that you wish to publish to, configure the deployment so that the CData ODBC driver for SQL Analysis Services is embedded in your workbook as a separate, live data source.

  1. Under Data Sources, select the option to Edit the embedded data sources in the workbook.
  2. Change Publish Type to 'Published separately,' then select a desired means of authentication.
  3. Last, select 'Maintain connection to a live data source' and click the green Publish Workbook button.

The published workbook now updates alongside the underlying SQL Analysis Services data. From a published dashboard, simply click the Refresh button to reflect the most recent changes.