Connect to BigCommerce Data from Filemaker Pro (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 BigCommerce data. This article demonstrates how to connect to BigCommerce using Connect AI and query BigCommerce data in FileMaker Pro.

CData Connect AI provides a pure SQL Server interface for BigCommerce, allowing you to query data from BigCommerce 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 BigCommerce, leveraging server-side processing to return the requested BigCommerce data quickly.

Configure BigCommerce Connectivity for FileMaker Pro

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "BigCommerce" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to BigCommerce.

   BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

   Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

   1. Log in to your BigCommerce account.
   2. From the Home Page, select Advanced Settings > API Accounts.
   3. Click Create API Account.
   4. A text box named API Path will appear on your screen.
   5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
   6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
   7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add BigCommerce 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 BigCommerce data from Filemaker Pro.

Connect to BigCommerce 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 BigCommerce 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."

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!