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Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for Paddle links Domo Workbench to operational Paddle data. You can build datasets from Paddle data using standard SQL queries in Workbench and then create real-time visualizations of Paddle data in the Domo service.
The CData ODBC Drivers offer unmatched performance for interacting with live Paddle data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to Paddle, the driver pushes supported SQL operations, like filters and aggregations, directly to Paddle and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Paddle data using native Domo data types.
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.
Paddle uses API key authentication. To obtain an API key:
After obtaining your API key, set the following connection properties:
Profile=C:\profiles\Paddle.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";
Once the authentication is configured, you can connect to Paddle and query data from any of the available tables such as Products, Customers, Subscriptions, and Transactions.
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.
After creating a DSN, you will need to create a dataset for Paddle in Domo Workbench using the Paddle DSN and build a visualization in the Domo service based on the dataset.
You can follow the steps below to build a dataset based on a table in Paddle in Domo Workbench using the CData ODBC Driver for Paddle.
SELECT * FROM ProductsNOTE: By connecting to Paddle data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Paddle-specific APIs or protocols.
With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on Paddle data.
With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the Paddle data in the Domo service.
With the CData ODBC Driver for Paddle, you can build custom datasets based on Paddle data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.
Connect to live data from Paddle with the API Driver
Connect to Paddle