How to integrate Metabase with Bannerbear Data
Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect AI, users can easily create visualizations and dashboards linked to live Bannerbear data. This article describes how to connect to Bannerbear and build a simple visualization using Bannerbear data.
CData Connect provides a pure cloud-to-cloud interface for Bannerbear, allowing you to easily integrate with live Bannerbear 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 Bannerbear, leveraging server-side processing to quickly return Bannerbear data.
Configure Bannerbear Connectivity for Metabase
Connectivity to Bannerbear from Metabase is made possible through CData Connect AI. To work with Bannerbear data from Metabase, we start by creating and configuring a Bannerbear connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Bannerbear" from the Add Connection panel
-
Enter the necessary authentication properties to connect to Bannerbear.
Start by setting the Profile connection property to the location of the Bannerbear Profile on disk (e.g. C:\profiles\Bannerbear.apip). Next, set the ProfileSettings connection property to the connection string for Bannerbear (see below).
Bannerbear API Profile Settings
Retrieve your API keys from the Bannerbear dashboard. Specify the key type (Project or Master) via the KeyType property.
- Click Save & Test
-
Navigate to the Permissions tab in the Add Bannerbear Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
- 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 and a PAT generated, you are ready to connect to Bannerbear data from Metabase.
Connect to CData Connect AI from Metabase
After creating the connection in Connect AI, navigate to your Metabase instance. Use the SQL Server interface to connect to Connect AI.
- Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab
- Configure the connection to Connect AI and click "Save"
- Database type: Select "SQL Server"
- Name: Name the connection (e.g. "Bannerbear (Connect AI)")
- Host: tds.cdata.com
- Port: 14333
- Database name: The name of the connection you just created (e.g. API1)
- Username: A Connect AI username (e.g. [email protected])
- Password: The PAT previously created
- Click to Use a secure connection (SSL)
Execute Bannerbear Data with Metabase
Once you configure the connection to Connect AI, you can query Bannerbear and build visualizations.
- Use the "Write SQL" tool to retrieve the Bannerbear data
- Write a SQL query based on the Bannerbear connection in CData Connect AI, e.g.
SELECT Uid, CreatedAt FROM Account WHERE PaidPlanName = 'premium'
- 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 Bannerbear data in Metabase. You can continue to work with live Bannerbear data in Metabase just like you would any SQL Server database. For more information on creating a live connection to Bannerbear (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Bannerbear data in Metabase today.