Ready to get started?

Download a free trial of the Amazon DynamoDB Driver to get started:

 Download Now

Learn more:

Amazon DynamoDB Icon Amazon DynamoDB JDBC Driver

Connect Java applications with the DynamoDB real-time NoSQL cloud database service. Use Amazon DynamoDB as the big data backend that powers your Java/J2EE applications.

Analyze Amazon DynamoDB Data in R

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

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

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

  • Driver Class: Set this to cdata.jdbc.amazondynamodb.AmazonDynamoDBDriver
  • 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 Amazon DynamoDB:

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

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

The connection to Amazon DynamoDB is made using your AccessKey, SecretKey, and optionally your Domain and Region. Your AccessKey and SecretKey can be obtained on the security credentials page for your Amazon Web Services account. Your Region will be displayed in the upper left-hand corner when you are logged into DynamoDB.

Built-in Connection String Designer

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

java -jar cdata.jdbc.amazondynamodb.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:amazondynamodb:Access Key=xxx;Secret Key=xxx;;Region=OREGON;")

Schema Discovery

The driver models Amazon DynamoDB 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 Amazon DynamoDB API:

lead <- dbGetQuery(conn,"SELECT Industry, Revenue FROM Lead")

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


Plot Amazon DynamoDB Data

You can now analyze Amazon DynamoDB 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(lead$Revenue, main="Amazon DynamoDB Lead", names.arg = lead$Industry, horiz=TRUE)