Connect to DB2 Data from Filemaker Pro (Mac)

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and query live DB2 data from Filemaker Pro on Mac.

FileMaker Pro is a cross-platform relational database application that allows users to visually modify a database. When paired with CData Connect AI, FileMaker Pro gets access to live DB2 data. This article demonstrates how to connect to DB2 using Connect AI and query DB2 data in FileMaker Pro.

CData Connect AI provides a pure SQL Server interface for DB2, allowing you to query data from DB2 without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to DB2, leveraging server-side processing to return the requested DB2 data quickly.

Configure DB2 Connectivity for FileMaker Pro

Connectivity to DB2 from FileMaker Pro is made possible through CData Connect AI. To work with DB2 data from FileMaker Pro, we start by creating and configuring a DB2 connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "DB2" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to DB2.

    Set the following properties to connect to DB2:

    • Server: Set this to the name of the server running DB2.
    • Port: Set this to the port the DB2 server is listening on.
    • Database: Set this to the name of the DB2 database.
    • User: Set this to the username of a user allowed to access the database.
    • Password: Set this to the password of a user allowed to access the database.

    You will also need to install the corresponding DB2 driver:

    • Windows: Install the IBM Data Server Provider for .NET.

      On Windows, installing the IBM Data Server Provider is sufficient, as the installation registers it in the machine.config.

    • Java: Install the IBM Data Server Driver for JDBC.

      In the Java version, place the IBM Data Server Driver JAR in the www\WEB-INF\lib\ folder for this application.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add DB2 Connection page and update the User-based permissions. Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to DB2 data from Filemaker Pro.

Connect to DB2 from FileMaker Pro using Connect AI

To establish a connection from FileMaker Pro to the CData Connect AI Virtual SQL Server API, follow these steps.

Configure the ODBC Connection to CData Connect AI

  1. Download and install the Actual ODBC Driver for SQL Server (actualtech.com)
  2. Configure a DSN for the Actual ODBC driver by setting the following properties:
    • URL: tds.cdata.com
    • Port: Change the port from 1433 to 14333
    • Username: Your Connect AI email address
    • Password: the PAT you created earlier

Query DB2 from FileMaker Pro

  1. In the SQL Query Builder "SELECT" tab, select the columns to include as part of the query. Configuring the query by selecting columns.
  2. Open the "WHERE" tab of the SQL Query Builder and select "Show only selected columns."
  3. In "Table.Column,"" select a table and a column name.
  4. Set the "Operator" to =.
  5. Select "Column," and then select the same table and column name as "Table.Column."
  6. Click "Insert into SQL Query." Configuring the query by setting the WHERE clause.
  7. If no other modifications to the SQL query are required, click "Execute."

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