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Get the Report →Integrate Salesforce Data Cloud with External Services using SnapLogic
Use CData JDBC drivers in SnapLogic to integrate Salesforce Data Cloud with External Services.
SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including Salesforce Data Cloud, in their SnapLogic workflows.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Salesforce Data Cloud data. When platforms issue complex SQL queries to Salesforce Data Cloud, the driver pushes supported SQL operations, like filters and aggregations, directly to Salesforce Data Cloud and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with Salesforce Data Cloud data using native data types.
Connect to Salesforce Data Cloud in SnapLogic
To connect to Salesforce Data Cloud data in SnapLogic, download and install the CData Salesforce Data Cloud JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for Salesforce Data Cloud/lib by default).
Upload the Salesforce Data Cloud JDBC Driver
After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection
Once the JDBC Driver is uploaded, we can create the connection to Salesforce Data Cloud.
- Navigate to the Designer tab
- Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer
- Click Add Account (or select an existing one) and click "Continue"
- In the next form, configure the JDBC connection properties:
- Under JDBC JARs, add the JAR file we previously uploaded
- Set JDBC Driver Class to cdata.jdbc.salesforcedatacloud.SalesforceDataCloudDriver
Set JDBC URL to a JDBC connection string for the Salesforce Data Cloud JDBC Driver, for example:
jdbc:salesforcedatacloud:RTK=XXXXXX;InitiateOAuth=GETANDREFRESH
NOTE: RTK is a trial or full key. Contact our Support team for more information.
Built-In Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Salesforce Data Cloud JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.salesforcedatacloud.jar
Fill in the connection properties and copy the connection string to the clipboard.
Salesforce Data Cloud supports authentication via the OAuth standard.
OAuth
Set AuthScheme to OAuth.
Desktop Applications
CData provides an embedded OAuth application that simplifies authentication at the desktop.
You can also authenticate from the desktop via a custom OAuth application, which you configure and register at the Salesforce Data Cloud console. For further information, see Creating a Custom OAuth App in the Help documentation.
Before you connect, set these properties:
- InitiateOAuth: GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
- OAuthClientId (custom applications only): The Client ID assigned when you registered your custom OAuth application.
- OAuthClientSecret (custom applications only): The Client Secret assigned when you registered your custom OAuth application.
When you connect, the driver opens Salesforce Data Cloud's OAuth endpoint in your default browser. Log in and grant permissions to the application.
The driver then completes the OAuth process as follows:
- Extracts the access token from the callback URL.
- Obtains a new access token when the old one expires.
- Saves OAuth values in OAuthSettingsLocation so that they persist across connections.
For other OAuth methods, including Web Applications and Headless Machines, refer to the Help documentation.
- After entering the connection properties, click "Validate" and "Apply"
Read Salesforce Data Cloud Data
In the form that opens after validating and applying the connection, configure your query.
- Set Schema name to "SalesforceDataCloud"
- Set Table name to a table for Salesforce Data Cloud using the schema name, for example: "SalesforceDataCloud"."Account" (use the drop-down to see the full list of available tables)
- Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.
With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your Salesforce Data Cloud data to another endpoint.

Piping Salesforce Data Cloud Data to External Services
For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.
- Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
- Add an account to connect to Google Sheets
- Configure the Worksheet Writer snap to write your Salesforce Data Cloud data to a Google Spreadsheet
You can now execute the fully configured pipeline to extract data from Salesforce Data Cloud and push it into a Google Spreadsheet.

More Information & Free Trial
Using the CData JDBC Driver for Salesforce Data Cloud you can create a pipeline in SnapLogic for integrating Salesforce Data Cloud data with external services. For more information about connecting to Salesforce Data Cloud, check at our CData JDBC Driver for Salesforce Data Cloud page. Download a free, 30 day trial of the CData JDBC Driver for Salesforce Data Cloud and get started today.