Visualize Amazon S3 Data from Tableau

With CData Drivers for Amazon S3, you can use data access standards to unlock connectivity to business intelligence tools like Tableau. The CData JDBC Driver for Amazon S3 allows you to connect from Tableau on Windows and macOS. This article covers how to discover schemas and query Amazon S3 data data in real-time.

NOTE: If you are using Tableau 2020.3 or higher, you can use the CData Tableau Connector. If you wish to connect to Amazon S3 data in Tableau Cloud, you will need to use CData Connect AI.

Connect to Amazon S3 in Tableau

Before starting Tableau, make sure you've placed the .jar file in the correct folder:

• Windows: C:\Program Files\Tableau\Drivers
• MacOS: ~/Library/Tableau/Drivers

Once your .jar file is in place, establishing a connection is straightforward.

1. Start Tableau.
2. Under To a Server, select More.
3. Select Other Databases (JDBC)
4. Enter the JDBC connection string in the URL field.

To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

For information on obtaining the credentials and other authentication methods, 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 Amazon S3 JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.

From Windows:

java -jar 'C:\Program Files\CData[product_name]\lib\cdata.jdbc.amazons3.jar'

From MacOS:

java -jar cdata.jdbc.amazons3.jar

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

👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)


When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

The following is a sample URL created in the designer:

jdbc:amazons3:AccessKey=a123;SecretKey=s123;

5. Select Sign in.

Discover Schemas and Query Data

1. Select CData from the Database pull-down menu.
2. Select CData from the Schema pull-down menu.
3. Drag the table onto the join area. You can include multiple tables.
👁 Drag the table onto the join area.

4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update automatically reflects the changes in the preview area.
5. In the Connection menu, select the Live option, so that you skip loading a copy of the data into Tableau and instead work on real-time data.
6. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData Driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
👁 Click the tab for your worksheet.

7. Click and drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
8. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.
👁 Select one of the chart types from the <b>Show Me</b> tab.

Using the CData JDBC Driver for Amazon S3 with Tableau, you can easily create robust visualizations and reports on Amazon S3 data. Download a free, 30-day trial and get started today.