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Rapidly create and deploy powerful Java applications that integrate with Salesforce Pardot.

Analyze Salesforce Pardot Data in R

Use standard R functions and the development environment of your choice to analyze Salesforce Pardot data with the CData JDBC Driver for Salesforce Pardot.

Access Salesforce Pardot data with pure R script and standard SQL on any machine where R and Java can be installed. You can use the CData JDBC Driver for Salesforce Pardot and the RJDBC package to work with remote Salesforce Pardot data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to Salesforce Pardot and visualize Salesforce Pardot data by calling standard R functions.

Install R

You can match the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running open R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open 3.2.3, which is preconfigured to install packages from the Jan. 1, 2016 snapshot of the CRAN repository. This snapshot ensures reproducibility.

Load the RJDBC Package

To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:


Connect to Salesforce Pardot as a JDBC Data Source

You will need the following information to connect to Salesforce Pardot as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.salesforcepardot.SalesforcePardotDriver
  • Classpath: Set this to the location of the driver JAR. By default this is the lib subfolder of the installation folder.

The DBI functions, such as dbConnect and dbSendQuery, provide a unified interface for writing data access code in R. Use the following line to initialize a DBI driver that can make JDBC requests to the CData JDBC Driver for Salesforce Pardot:

driver <- JDBC(driverClass = "cdata.jdbc.salesforcepardot.SalesforcePardotDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.salesforcepardot.jar", identifier.quote = "'")

You can now use DBI functions to connect to Salesforce Pardot and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

Salesforce Pardot supports connecting through API Version, Username, Password and User Key.

  • ApiVersion: The Salesforce Pardot API version which the provided account can access. Defaults to 4.
  • User: The Username of the Salesforce Pardot account.
  • Password: The Password of the Salesforce Pardot account.
  • UserKey: The unique User Key for the Salesforce Pardot account. This key does not expire.
  • IsDemoAccount (optional): Set to TRUE to connect to a demo account.

Accessing the Pardot User Key

The User Key of the current account may be accessed by going to Settings -> My Profile, under the API User Key row.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Salesforce Pardot JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.salesforcepardot.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample dbConnect call, including a typical JDBC connection string:

conn <- dbConnect(driver,"jdbc:salesforcepardot:ApiVersion=4;User=YourUsername;Password=YourPassword;UserKey=YourUserKey;")

Schema Discovery

The driver models Salesforce Pardot APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:


Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the Salesforce Pardot API:

prospects <- dbGetQuery(conn,"SELECT Id, Email FROM Prospects WHERE ProspectAccountId = '703'")

You can view the results in a data viewer window with the following command:


Plot Salesforce Pardot Data

You can now analyze Salesforce Pardot data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:

par(las=2,ps=10,mar=c(5,15,4,2)) barplot(prospects$Email, main="Salesforce Pardot Prospects", names.arg = prospects$Id, horiz=TRUE)