Build Snowflake-Connected Apps in Bubble

Bubble is a no-code platform that simplifies the process of developing and launching apps and businesses. When coupled with CData Connect AI, you gain effortless no-code access to Snowflake data for streamlined app development. This article guides you through the integration process from Bubble to Snowflake using CData Connect AI.

CData Connect AI provides a pure cloud-to-cloud OData interface for Snowflake data that allows you to integrate from Bubble to Snowflake data in real time.

Getting Started

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Connect to Snowflake from Bubble

To work with Snowflake data from Bubble, we need to connect to Snowflake from Connect AI, provide user access to the connection, and create a Workspace for the Snowflake data.

Connect to Snowflake from Connect AI

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Snowflake" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Snowflake.

   To connect to Snowflake:

   1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
   2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
   3. Set Warehouse to the Snowflake warehouse.
   4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
   5. (Optional) Set Database and Schema to restrict the tables and views exposed.
   6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

   See the Getting Started guide in the CData driver documentation for more information.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Snowflake Connection page and update the User-based permissions. 👁 Updating 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.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure Snowflake Endpoints for Bubble

After connecting to Snowflake, create a workspace for your desired table(s).

1. Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace). 👁 The Workspaces page.
   👁 Adding a new Workspace.
   
2. Click Add to add new assets to the Workspace.
3. Select the Snowflake connection (e.g. Snowflake1) and click Next. 👁 Selecting an Asset (Salesforce is shown).
   
4. Select the table(s) you wish to work with and click Confirm. 👁 Selecting Tables (Salesforce is shown).
   
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection, PAT, and Workspace configured, you are ready to connect to Snowflake data from Bubble.

Build a Snowflake-Connected App

With OData endpoints added to Connect AI, you can build an app in Bubble with live access to Snowflake data.

Configure the Bubble API Connector

To start, Configure the API Connector for accessing CData Connect AI from Bubble.

1. In your app, click the Plugins tab and click Add plugins
2. Search for "API Connector" and click Install 👁 Installing the API Connector plugin
   
3. After installation, click the "Add another API" button and configure the API:
   • Name the API
   • Set Authentication to "HTTP Basic Auth"
   • Set Username to a Connect AI user (e.g. [email protected])
   • Set Password to the PAT for the user
   • Expand the API Call, select the "GET" command and set the URL to a Workspace endpoint you previously configured (e.g. https://cloud.cdata.com/api/odata/{workspace_name}/Products)
   👁 Configuring the API Call
   
4. Click the "Initialize call" button to adjust data types in the response (as needed) 👁 Initializing the call
   
5. After making any necessary changes, click "Save" 👁 Saving the data types
   

Configure the App UI

With the API Connector configure, you are ready to retrieve Snowflake data in your Bubble app. In this article, we request the data with a UI component that can display an Excel-like table.

1. On the Plugin tab, install the "Excel-like HandsonTable" 👁 Adding the Excel-like HandsonTable plugin
   
2. On the Design tab, add an "Excel Table" to the workspace 👁 Adding an Excel Table to the app
   
3. In the Excel Table, in Data source, select "Get data from an external API"
4. Set Type of content to "API Call value"
5. Set Data source to "CData Connect AI - API Call's value" (or equivalent) 👁 Binding the Excel Table to the API Call
   
6. Click "Preview" to ensure the data was retrieved from Snowflake. 👁 Previewing the app
   

At this point, you can develop applications with live access to Snowflake data without needing to know the complexities of the back-end API.

Live Access to Snowflake Data from Cloud Applications

Now you have a direct connection to live Snowflake data from Bubble. You can create more Snowflake-connected apps — all without writing any code or replicating Snowflake data.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect AI.