Build Airtable-Connected Dashboards in Redash

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Server, you get instant, cloud-to-cloud access to Airtable data for visualizations, dashboards, and more. This article shows how to create a virtual database for Airtable and build visualizations from Airtable data in Redash.

CData Connect Server provides a pure SQL Server interface for Airtable, allowing you to easily build reports from live Airtable data in Redash — without replicating the data to a natively supported database. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Airtable, leveraging server-side processing to quickly return the requested Airtable data.

Create a Virtual SQL Server Database for Airtable Data

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

1. Login to Connect Server and click Connections.
2. Select "Airtable" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Airtable.

   APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.

   • APIKey : API Key of your account. To obtain this value, after logging in go to Account. In API section click Generate API key.
   • BaseId : Id of your base. To obtain this value, it is in the same section as the APIKey. Click on Airtable API, or navigate to https://airtable.com/api and select a base. In the introduction section you can find "The ID of this base is appxxN2ftedc0nEG7."
   • TableNames : A comma separated list of table names for the selected base. These are the same names of tables as found in the UI.
   • ViewNames : A comma separated list of views in the format of (table.view) names. These are the same names of the views as found in the UI.
4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Airtable data from Redash.

Visualize Airtable Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Airtable database in Connect Server and building a simple visualization from the data.

Create a New Data Source

1. Log into Redash, click on your profile and click "Data Sources"
2. Click the " New Data Source" button
3. Select "Microsoft SQL Server" as the Data Source Type
4. On the configuration tab, set the following properties:
   • Name: Name the data source (e.g. Airtable (CData Connect))
   • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
   • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
   • User: A CData Connect user
   • Password: The password for the above user
   • Database name: The name of the virtual database for Airtable (e.g. Airtable1)
   • Click the checkbox to Use SSQL
5. Click Create
6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Airtable data.

Create a Airtable Data Visualization

1. Click Create -> New Query
2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
3. Write a SQL statement to retrieve the data, for example:
   SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = 'SomeValue'
4. Click the "Execute" button to load Airtable data into Redash via CData Connect
5. Use the Visualization Editor to create and analyze graphs from Airtable data
6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Airtable Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Airtable data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Server page.