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The CData JDBC Driver for Postmark seamlessly integrates Postmark data into database management tools like DBArtisan by enabling you to access Postmark data as a database. This article shows how to create a JDBC source for Postmark in DBArtisan. You can then edit data visually and execute standard SQL.
Follow the steps below to register Postmark data as a database instance in your project:
Postmark uses server API tokens to authenticate requests. Each Postmark server has its own API token, which controls access to messages, bounces, templates, and statistics associated with that server.
To obtain your Server API Token, log in to your Postmark account and navigate to the server you want to connect to. Go to API Tokens under the server settings and copy the token labeled Server API token.
After setting the following connection properties, you are ready to connect:
Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
Once the authentication is configured, you can connect to Postmark and query data from any of the available tables such as OutboundMessages, Bounces, and Templates.
For assistance in constructing the JDBC URL, use the connection string designer built into the Postmark JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Required JDBC connection properties in the Register Datasource wizard. (Salesforce is shown.)Below is a typical connection string:
jdbc:api:Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"
You can now work with Postmark data as you work with any other database. See the driver help documentation for more information on the queries supported by the Postmark API.
👁 The results of a query. (Salesforce is shown.)Connect to live data from Postmark with the API Driver
Connect to Postmark