Integrate with Adobe Experience Manager Data in SnapLogic

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and integrate with live Adobe Experience Manager data in SnapLogic.

SnapLogic's iPaaS platform helps organizations automate application, data and cloud integrations. When paired with CData Connect AI, SnapLogic gets access to live Adobe Experience Manager data. This article demonstrates how to connect to Adobe Experience Manager using Connect AI and integrate with Adobe Experience Manager data in SnapLogic.

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

Configure Adobe Experience Manager Connectivity for SnapLogic

Connectivity to Adobe Experience Manager from SnapLogic is made possible through CData Connect AI. To work with Adobe Experience Manager data from SnapLogic, we start by creating and configuring a Adobe Experience Manager connection.

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

    The driver connects to Adobe Experience Manager (AEM) instances that expose the JCR repository over WebDAV. It supports both on-premises AEM and AEM as a Cloud Service deployments.

    To establish a connection, set the following properties:

    • URL: The WebDAV-enabled JCR server URL.
      • AEM as a Cloud Service: https://author-pXXXXX-eXXXXX.adobeaemcloud.com/crx/server
      • Local development: http://localhost:4502/crx/server
    • User: Your AEM username.
    • Password: Your AEM password.

    Note: Tables are dynamically generated based on the JCR repository structure. Ensure that the configured user has sufficient permissions to access the required content paths in the AEM repository.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Adobe Experience Manager 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 Adobe Experience Manager data from SnapLogic.

Connect to Adobe Experience Manager from SnapLogic using Connect AI

To establish a connection from SnapLogic to CData Connect AI, you will need to download the CData Connect AI JDBC Driver.

  1. Open the Integrations page of CData Connect AI.
  2. Search for and select JDBC.
  3. Download and run the setup file.
  4. When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).

After copying the JDBC CData Connect AI JAR file, you will need to paste it into the SnapLogic installation location and configure the connection to Connect AI.

  1. Log into SnapLogic.
  2. Click the Managers tab.
  3. Select a folder from the Project Spaces to add the JDBC JAR file to. Selecting the hosting folder for the JAR file.
  4. Click the Files tab. Navigating to the
  5. Click the button in the top right to upload the CData Connect AI JDBC JAR file. It appears as a file once uploaded. Adding the JDBC Driver JAR
  6. Click the Designer tab.
  7. Click JDBC to expand the options for "snaps."
  8. Click and drag a Generic JDBC - Select "snap" onto the designer. Using a
  9. Click Add Account > Continue.
  10. Enter the JDBC connection properties.
    • JDBC driver: add the CData Connect AI JAR file
    • JDBC driver Class: enter cdata.jdbc.connect.ConnectDriver
    • JDBC Url: enter a JDBC connection string for the JDBC driver. For example: jdbc:connect:AuthScheme=Basic;User={username};Password={PAT};
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password: enter the PAT you generated previously.
    Configuring the connection to CData Connect AI.
  11. Click Validate. If the connection succeeds, the "snap" is ready to use.
  12. Click Apply.

You can now create reports with the connected data.

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