Create Interactive Metabase Dashboards that Work with Google Data Catalog Data

Ready to get started?

Learn more or sign up for a free trial:

CData Connect



Use CData Connect to create a virtual MySQL database for Google Data Catalog data and create an interactive dashboard in Metabase from Google Data Catalog 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 Google Data Catalog data. This article describes how to create a virtual database for Google Data Catalog and build a simple visualization using Google Data Catalog data.

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

Create a Virtual MySQL Database for Google Data Catalog Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "Google Data Catalog" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Google Data Catalog.

    Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

    Before connecting, specify the following to identify the organization and project you would like to connect to:

    • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

      Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

    • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

      Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

    When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Connect to CData Connect from Metabase

After creating the virtual database, navigate to your Metabase instance. Use the MySQL interface to connect to CData Connect.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab
  2. Configure the connection to CData Connect and click "Save"
    • Database type: Select "MySQL"
    • Name: Name the connection (e.g. "Google Data Catalog (CData Connect)")
    • Host: The URL of your Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the MySQL endpoint for your Connect instance (e.g. 3306)
    • Database name: The name of the virtual database you just created (e.g. Google Data Catalog1)
    • Username: A CData Connect username
    • Password: The password for the above CData Connect user
    • Click to Use a secure connection (SSL)

Query Google Data Catalog Data with Metabase

Once you configure the connection to CData Connect, you can query Google Data Catalog and build visualizations.

  1. Use the "Write SQL" tool to retrieve the Google Data Catalog data
  2. Write a SQL query based on the virtual database, e.g.

    SELECT Type, DatasetName FROM Schemas WHERE ProjectId = 'bigquery-public-data'
  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 Google Data Catalog data in Metabase. You can continue to work with live Google Data Catalog data in Metabase just like you would any MySQL database. For more information on creating a virtual MySQL database for Google Data Catalog (and more than 200 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Google Data Catalog data in Metabase today.