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Rapidly create and deploy powerful Java applications that integrate with Zoho Inventory.

Analyze Zoho Inventory Data in R

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

Access Zoho Inventory 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 Zoho Inventory and the RJDBC package to work with remote Zoho Inventory 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 Zoho Inventory and visualize Zoho Inventory 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 Zoho Inventory as a JDBC Data Source

You will need the following information to connect to Zoho Inventory as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.zohoinventory.ZohoInventoryDriver
  • 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 Zoho Inventory:

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

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

In order to connect to Zoho Inventory, set the following connection properties:

  • OrganizationId: set this to the ID associated with your specific Zoho Inventory organization
  • InitiateOAuth: set the to "GETANDREFRESH"
  • AccountsServer (Optional): set this full Account Server URL (only when manually refreshing the OAuth token)

The connectors use OAuth to authenticate with Zoho Inventory. For more information, refer to the Getting Started section of the Help documentation.

Built-in Connection String Designer

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

java -jar cdata.jdbc.zohoinventory.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:zohoinventory:OrganizationId=YourOrganizationId;AccountsServer=YourAccountServerURL;InitiateOAuth=GETANDREFRESH")

Schema Discovery

The driver models Zoho Inventory 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 Zoho Inventory API:

contacts <- dbGetQuery(conn,"SELECT Id, CustomerName FROM Contacts WHERE FirstName = 'Katherine'")

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


Plot Zoho Inventory Data

You can now analyze Zoho Inventory 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(contacts$CustomerName, main="Zoho Inventory Contacts", names.arg = contacts$Id, horiz=TRUE)