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Access Quandl Data from MySQL in Amazon QuickSight

Connect to Quandl and build visualizations of Quandl data using a MySQL Connection in Amazon QuickSight.

Amazon QuickSight gives you a way to quickly build visualizations, perform analytics, and get insights from AWS data sources, uploaded files, and other databases in the cloud. When paired with the CData SQL Gateway, you get the same functionality with access to 180+ Big Data, NoSQL, and SaaS sources, both on-premises and in the cloud. In this article, we use the SQL Gateway with the CData ODBC Driver for Quandl to access Quandl data through a MySQL connection in Amazon QuickSight, either in real time using direct queries, or by importing the data into SPICE.

Connect to Quandl Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Quandl uses an API key for authentication. See the help documentation for a guide to obtaining the APIKey property.

Additionally, set the DatabaseCode connection property to the code identifying the Database whose Datasets you want to query with SQL. You can search the available Databases by querying the Databases view.

When you configure the DSN, 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.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Quandl data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.


To connect to the SQL Gateway from QuickSight, you will need to run the SQL Gateway on a web-facing machine. After configuring the SQL Gateway, make note of the following information:

  • The IP address or domain name of the machine hosting the SQL Gateway
  • The data source name (likely CData Quandl Sys) of the MySQL service
  • The port number of the MySQL service
  • The credentials of a SQL Gateway user with access to the service

Connect to Quandl in QuickSight

Once you have a MySQL Service configured for the Quandl ODBC Driver, you are ready to connect to the data in QuickSight. Start by logging in to your QuickSight console. From there, click Manage Data, then click New Data Set and choose MySQL as the data source.


Configure the data set using the values for the MySQL service for Quandl you configured in SQL Gateway (be sure to use the DSN for the database name). Validate your connection and click Create Data Source.


Visualize Quandl Data in QuickSight

For this article, we will use a custom SQL query for our data visualization. To do so, click Edit/Preview Data and in the resulting Data Prep screen follow the steps below:

  1. Name your data set (for example, AAPL).
  2. If you wish to import your data into QuickSight SPICE, click the SPICE option, otherwise QuickSight will query the data directly.
  3. Under the Tables menu, click Switch to Custom SQL Tool.
    • Give your SQL query a name.
    • Enter your custom SQL query. For example:
      SELECT Date, Volume FROM AAPL
    • Click Finish.
  4. Click Save & Visualize.


After you have saved the data set, you can configure the visualization. Select the columns you wish to visualize and choose a visual type. Your visualization can be customized, from its name to the way that data is aggregated.


With the CData ODBC Driver for Quandl and SQL Gateway, you are able to easily build data visualizations and perform analytics on Quandl data in Amazon QuickSight. If you have any questions, such as needing to access your on-premises data from AWS QuickSight, let our Support Team know.