Visualize Live SQL Analysis Services Data in Tableau

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SQL Analysis Services Tableau Connector

The fastest and easiest way to connect Tableau to SQL Server Analysis Services data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.



Use the CData Tableau Connector for SQL Analysis Services and Tableau Desktop to visualize live SQL Analysis Services data.

Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for SQL Analysis Services, you can easily get access to live SQL Analysis Services data within Tableau. This article shows how to connect to SQL Analysis Services in Tableau and build a simple chart.

The CData Tableau Connectors enable high-speed access to live SQL Analysis Services data in Tableau. Once you install the connector, you simply authenticate with SQL Analysis Services and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing SQL Analysis Services data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to SQL Analysis Services data.

NOTE: The CData Tableau Connectors require Tableau 2020.3 or higher. If you are using an older version of Tableau, you will need to use the CData JDBC Driver for SQL Analysis Services. If you wish to connect to SQL Analysis Services data in Tableau Online, you will need to use CData CloudHub.

Connect to SQL Analysis Services in Tableau

Open Tableau and click More under Connect -> To a Server. Select "SQL Analysis Services by CData," then configure the connection and click "Sign In."

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.

Discover Schemas and Query Data

  1. Select CData from the Database pull-down menu.
  2. Select SSAS from the Schema pull-down menu.
  3. Drag the tables and views you wish to visualize onto the join area. You can include multiple tables.
  4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update automatically reflects the changes in the preview area.
  5. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData Tableau Connector discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
  6. Drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
  7. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData Tableau Connector for SQL Analysis Services with Tableau, you can easily create robust visualizations and reports on SQL Analysis Services data. Download a free, 30-day trial and get started today.