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Rapidly create and deploy powerful Java applications that integrate with Neo4J.

Analyze Neo4J Data in R

Use standard R functions and the development environment of your choice to analyze Neo4J data with the CData JDBC Driver for Neo4J.

Access Neo4J 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 Neo4J and the RJDBC package to work with remote Neo4J 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 Neo4J and visualize Neo4J 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 Neo4J as a JDBC Data Source

You will need the following information to connect to Neo4J as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.neo4j.Neo4jDriver
  • 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 Neo4J:

driver <- JDBC(driverClass = "cdata.jdbc.neo4j.Neo4jDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.neo4j.jar", identifier.quote = "'")

You can now use DBI functions to connect to Neo4J and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

To connect to Neo4j, set the following connection properties:

  • Server: The server hosting the Neo4j instance.
  • Port: The port on which the Neo4j service is running. The provider connects to port 7474 by default.
  • User: The username of the user using the Neo4j instance.
  • Password: The password of the user using the Neo4j instance.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Neo4J JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.neo4j.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:neo4j:Server=localhost;Port=7474;User=my_user;Password=my_password;")

Schema Discovery

The driver models Neo4J 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 Neo4J API:

productcategory <- dbGetQuery(conn,"SELECT CategoryId, CategoryName FROM ProductCategory WHERE CategoryOwner = 'CData Software'")

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


Plot Neo4J Data

You can now analyze Neo4J 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(productcategory$CategoryName, main="Neo4J ProductCategory", names.arg = productcategory$CategoryId, horiz=TRUE)