Visualize Sage 300 Data from Tableau

Ready to get started?

Download for a free trial:

Download Now

Learn more:

Sage 300 JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Sage 300.



Use the Tableau Desktop business intelligence tool to connect to Sage 300 data.

With CData Drivers for Sage 300, you can use data access standards to unlock connectivity to business intelligence tools like Tableau. The CData JDBC Driver for Sage 300 allows you to connect from Tableau on Windows and macOS. This article covers how to discover schemas and query Sage 300 data data in real-time.

NOTE: If you are using Tableau 2020.3 or higher, you can use the CData Tableau Connector for Sage 300. If you wish to connect to Sage 300 data in Tableau Online, you will need to use CData Connect Cloud.

Connect to Sage 300 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.
  5. Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

    • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
    • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
    • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

    Authenticate to Sage 300 using Basic authentication.

    Connect Using Basic Authentication

    You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

    • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
    • User: Set this to the username of your account.
    • Password: Set this to the password of your account.

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 300 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\CData JDBC Driver for Sage 300\lib\cdata.jdbc.sage300.jar'

    From MacOS:

    java -jar cdata.jdbc.sage300.jar

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

    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:sage300:User=SAMPLE;Password=password;URL=http://127.0.0.1/Sage300WebApi/v1/-/;Company=SAMINC;
  6. 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.
  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.
  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.

Using the CData JDBC Driver for Sage 300 with Tableau, you can easily create robust visualizations and reports on Sage 300 data. Download a free, 30-day trial and get started today.