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URL: https://www.cdata.com/kb/tech/sugarcrm-cloud-snaplogic.rst

⇱ Integrate with Sugar CRM Data in SnapLogic


Integrate with Sugar CRM Data in SnapLogic

πŸ‘ Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to and integrate with live Sugar CRM 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 Sugar CRM data. This article demonstrates how to connect to Sugar CRM using Connect AI and integrate with Sugar CRM data in SnapLogic.

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

Configure Sugar CRM Connectivity for SnapLogic

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

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

    The User and Password properties, under the Authentication section, must be set to valid SugarCRM user credentials. This will use the default OAuth token created to allow client logins. OAuthClientId and OAuthClientSecret are required if you do not wish to use the default OAuth token.

    You can generate a new OAuth consumer key and consumer secret in Admin -> OAuth Keys. Set the OAuthClientId to the OAuth consumer key. Set the OAuthClientSecret to the consumer secret.

    Additionally, specify the URL to the SugarCRM account.

    Note that retrieving SugarCRM metadata can be expensive. It is advised that you store the metadata locally as described in the "Caching Metadata" chapter of the help documentation.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Sugar CRM Connection page and update the User-based permissions. πŸ‘ 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. πŸ‘ 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 Sugar CRM data from SnapLogic.

Connect to Sugar CRM 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. πŸ‘ Selecting the hosting folder for the JAR file.
  4. Click the Files tab. πŸ‘ Navigating to the 'Files' tab.
  5. Click the button in the top right to upload the CData Connect AI JDBC JAR file. It appears as a file once uploaded. πŸ‘ 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. πŸ‘ Using a 'Select' snap.
  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.
    πŸ‘ 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.

Get CData Connect AI

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