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

Access AlloyDB data like you would a database - read, write, and update AlloyDB 0, etc. through a standard ODBC Driver interface.

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Visualize AlloyDB Data in TIBCO Spotfire through ODBC


The ODBC standard has ubiquitous support and makes self-service business intelligence easy. Use the ODBC Driver to load AlloyDB data into TIBCO Spotfire.

This article walks you through using the CData ODBC Driver for AlloyDB in TIBCO Spotfire. You will use the data import wizard to connect to a DSN (data source name) for Salesforce and build on the sample visualizations to create a simple dashboard.

Connect to AlloyDB 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.

The following connection properties are usually required in order to connect to AlloyDB.

  • Server: The host name or IP of the server hosting the AlloyDB database.
  • User: The user which will be used to authenticate with the AlloyDB server.
  • Password: The password which will be used to authenticate with the AlloyDB server.

You can also optionally set the following:

  • Database: The database to connect to when connecting to the AlloyDB Server. If this is not set, the user's default database will be used.
  • Port: The port of the server hosting the AlloyDB database. This property is set to 5432 by default.

Authenticating with Standard Authentication

Standard authentication (using the user/password combination supplied earlier) is the default form of authentication.

No further action is required to leverage Standard Authentication to connect.

Authenticating with pg_hba.conf Auth Schemes

There are additional methods of authentication available which must be enabled in the pg_hba.conf file on the AlloyDB server.

Find instructions about authentication setup on the AlloyDB Server here.

Authenticating with MD5 Authentication

This authentication method must be enabled by setting the auth-method in the pg_hba.conf file to md5.

Authenticating with SASL Authentication

This authentication method must be enabled by setting the auth-method in the pg_hba.conf file to scram-sha-256.

Authenticating with Kerberos

The authentication with Kerberos is initiated by AlloyDB Server when the ∏ is trying to connect to it. You should set up Kerberos on the AlloyDB Server to activate this authentication method. Once you have Kerberos authentication set up on the AlloyDB Server, see the Kerberos section of the help documentation for details on how to authenticate with Kerberos.

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.

Create Visualizations of AlloyDB Tables

Follow the steps below to connect to the DSN and create real-time data visualizations:

  1. Click Data -> Add Data ...
  2. Click Other -> Load data with ODBC, OLE DB, or ADO.NET data provider.
  3. In the Data Source Type menu, select ODBC Data Provider and click Configure.
  4. Select the DSN.
  5. Select the tables that you want to add to the dashboard. This example uses Orders. You can also specify an SQL query. The driver supports the standard SQL syntax.
  6. If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.

    If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.

  7. After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses ShipCity in the Numbers section and ShipName in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can zoom in on high probability opportunities by applying a filter on the page. To add a filter, click the Filter button. The available filters for each query are displayed in the Filters pane.