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URL: https://www.cdata.com/kb/tech/snowflake-cloud-appsheet.rst

⇱ Create Snowflake-Connected Business Apps in AppSheet

Create Snowflake-Connected Business Apps in AppSheet

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to Snowflake Data via CData Connect AI in Google AppSheet and create custom business applications with real-time access to Snowflake data.

Google AppSheet is a no-code development platform for application software, enabling users to design mobile, tablet, and web applications. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to Snowflake data for business applications. This article outlines the process of connecting to Snowflake using Connect AI and constructing a basic app from Snowflake data within AppSheet.

CData Connect AI offers a dedicated cloud-to-cloud interface for Snowflake, enabling the creation of reports directly from live Snowflake data within AppSheet, all without the need for data replication to a native database. When you design applications that interact with data, AppSheet formulates SQL queries to retrieve the required information. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Snowflake. This leverages server-side processing to swiftly deliver the requested Snowflake data.

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


Configure Snowflake Connectivity for AppSheet

Connectivity to Snowflake from AppSheet is made possible through CData Connect AI. To work with Snowflake data from AppSheet, we start by creating and configuring a Snowflake connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Snowflake" from the Add Connection panel
    3. 👁 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.

With the connection configured and a PAT generated, you are ready to connect to Snowflake data from AppSheet.

Connect to Snowflake from AppSheet

The steps below outline connecting to CData Connect AI from AppSheet to create a new Snowflake data source.

  1. Log into AppSheet
  2. Click "My account" in the menu
  3. Click the Sources tab and add a new data source 👁 Creating a new data source
  4. Select Cloud Database and set the connection information
    • Type: Sql Server
    • Server: tds.cdata.com,14333
    • Database: the Snowflake connection, for example, Snowflake1
    • Username: a Connect AI user, for example, [email protected]
    • Password: the PAT for the above Connect AI user
    • SSL: Require SSL
    👁 Connecting to Connect AI
  5. Click "Test Connection"
  6. Click "Authorize Access"

Create an App

Once you create the data source for Snowflake, you can start building apps on Snowflake data. Start by clicking "My apps" in the menu.

  1. Click to create a new app and select "Start with your own data"
  2. Name the app and select an appropriate category, based on your data
  3. Select the newly created data source
  4. Select the table or view with the data you want 👁 Selecting a table

At this point, you can configure the design of your app, selecting which columns from the selected table to display, use as labels, and more. Preview the app in the preview panel and then publish or share it when ready.

👁 Configuring an app connected to Connect AI.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!