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The SingleStore ODBC Driver is a powerful tool that allows you to connect with live data from SingleStore, directly from any applications that support ODBC connectivity.

Access SingleStore data like you would a database - read, write, and update SingleStore. through a standard ODBC Driver interface.

Access SingleStore Data from MySQL in Amazon QuickSight



Connect to SingleStore and build visualizations of SingleStore 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 200+ 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 SingleStore to access SingleStore data through a MySQL connection in Amazon QuickSight, either in real time using direct queries, or by importing the data into SPICE.

Connect to SingleStore 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.

The following connection properties are required in order to connect to data.

  • Server: The host name or IP of the server hosting the SingleStore database.
  • Port: The port of the server hosting the SingleStore database.
  • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

Connect Using Standard Authentication

To authenticate using standard authentication, set the following:

  • User: The user which will be used to authenticate with the SingleStore server.
  • Password: The password which will be used to authenticate with the SingleStore server.

Connect Using Integrated Security

As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

Connect Using SSL Authentication

You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

  • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
  • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
  • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
  • SSLClientCertType: The certificate type of the client store.
  • SSLServerCert: The certificate to be accepted from the server.

Connect Using SSH Authentication

Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

  • SSHClientCert: Set this to the name of the certificate store for the client certificate.
  • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
  • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
  • SSHClientCertType: The certificate type of the client store.
  • SSHPassword: The password that you use to authenticate with the SSH server.
  • SSHPort: The port used for SSH operations.
  • SSHServer: The SSH authentication server you are trying to authenticate against.
  • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
  • SSHUser: Set this to the username that you use to authenticate with the SSH server.

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 SingleStore 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.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

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 SingleStore Sys) of the MySQL service
  • The port number of the MySQL service
  • The credentials of a SQL Gateway user with access to the service

Configure Remote Access

If your ODBC Driver and the remoting service are installed on-premise (and not accessible from Amazon QuickSight), you can use the reverse SSH tunneling feature to enable remote access. For detailed instructions, read our Knowledge Base article: SQL Gateway SSH Tunneling Capabilities.

Connect to SingleStore in QuickSight

Once you have a MySQL Service configured for the SingleStore 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 SingleStore you configured in SQL Gateway (be sure to use the DSN for the database name). Validate your connection and click Create Data Source.


Visualize SingleStore 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, Orders).
  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 ShipName, ShipCity FROM Orders
    • 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 SingleStore and SQL Gateway, you are able to easily build data visualizations and perform analytics on SingleStore 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.