How to integrate Metabase with SQL Server Data

Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect Cloud, users can easily create visualizations and dashboards linked to live SQL Server data. This article describes how to connect to SQL Server and build a simple visualization using SQL Server data.

CData Connect provides a pure cloud-to-cloud interface for SQL Server, allowing you to easily integrate with live SQL Server data in Metabase — without replicating the data. Connect looks exactly like a SQL Server database to Metabase and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to SQL Server, leveraging server-side processing to quickly return SQL Server data.

Configure SQL Server Connectivity for Metabase

Connectivity to SQL Server from Metabase is made possible through CData Connect Cloud. To work with SQL Server data from Metabase, we start by creating and configuring a SQL Server connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "SQL Server" from the Add Connection panel
3. Enter the necessary authentication properties to connect to SQL Server.

   Connecting to Microsoft SQL Server

   Connect to Microsoft SQL Server using the following properties:

   • Server: The name of the server running SQL Server.
   • User: The username provided for authentication with SQL Server.
   • Password: The password associated with the authenticating user.
   • Database: The name of the SQL Server database.

   Connecting to Azure SQL Server and Azure Data Warehouse

   You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

   • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
   • User: The name of the user authenticating to Azure.
   • Password: The password associated with the authenticating user.
   • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add SQL Server Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to SQL Server data from Metabase.

Connect to CData Connect from Metabase

After creating the virtual database, navigate to your Metabase instance. Use the SQL Server interface to connect to Connect Cloud.

1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab
2. Configure the connection to Connect Cloud and click "Save"
   • Database type: Select "SQL Server"
   • Name: Name the connection (e.g. "SQL Server (Connect Cloud)")
   • Host: tds.cdata.com
   • Port: 14333
   • Database name: The name of the connection you just created (e.g. SQL1)
   • Username: A Connect Cloud username (e.g. user@mydomain.com)
   • Password: The PAT for the above Connect Cloud user
   • Click to Use a secure connection (SSL)

Execute SQL Server Data with Metabase

Once you configure the connection to Connect Cloud, you can query SQL Server and build visualizations.

1. Use the "Write SQL" tool to retrieve the SQL Server data
2. Write a SQL query based on the SQL Server connection in CData Connect Cloud, e.g.
   
   

   SELECT ShipName, Freight FROM Orders

3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization

More Information & Free Trial

At this point, you have built a simple visualization from SQL Server data in Metabase. You can continue to work with live SQL Server data in Metabase just like you would any SQL Server database. For more information on creating a live connection to SQL Server (and more than 100 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live SQL Server data in Metabase today.