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Quick BI:Add a RedShift Data Source

Last Updated:Jun 24, 2025

Adding a RedShift data source enables you to connect RedShift databases with Quick BI. After establishing the connection, you can analyze and visualize data in Quick BI. This topic describes how to add a RedShift data source.

Procedure

  1. Add IP addresses to the whitelist.

    Before connecting to RedShift, you need to add the IP addresses of Quick BI to the RedShift whitelist.

  2. Access the create data source interface from the create data source entry.

  3. On the AWS Database tab, select RedShift data source.image

  4. In the Configure Connection dialog box, complete the configuration based on your business scenario.image

    Name

    Description

    Display name

    The name of the data source. The name is displayed in the data source list.

    The name cannot contain special characters or start or end with spaces.

    Database address

    The public endpoint of the deployed RedShift database cluster.

    Log on to the Amazon RDS console, click the corresponding database in the database list to access the details page, and obtain the endpoint name from the "Connectivity & security" tab. This is the database address, for example: xxxxxxxx.redshift.amazonaws.com.

    Port

    The port number of the database. The default port is 5439.

    Database

    The name of the database to be connected.

    Schema

    The name of the schema to be connected. The default schema is public.

    Username and Password

    The username and password used to log on to the RedShift database.

    Note

    Make sure that the user who logs on to the RedShift database has the create, insert, update, and delete permissions on tables in the database.

    SSL

    If the target data source has SSL configured, you can select the SSL security protocol to protect data security.

  5. Click Test Connection to test the connectivity of the data source.image

  6. After the test is successful, click OK to complete adding the data source.

What to do next

After you add a data source, you can create a dataset and analyze data.