Ready to get started?

Learn more about CData Connect Cloud or sign up for free trial access:

Free Trial

Create Amazon S3-Connected Business Apps in AppSheet



Connect to Amazon S3 Data via CData Connect Cloud in Google AppSheet and create custom business applications with real-time access to Amazon S3 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 Cloud, you gain immediate cloud-to-cloud access to Amazon S3 data for business applications. This article outlines the process of connecting to Amazon S3 using Connect Cloud and constructing a basic app from Amazon S3 data within AppSheet.

CData Connect Cloud offers a dedicated cloud-to-cloud interface for Amazon S3, enabling the creation of reports directly from live Amazon S3 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 Cloud efficiently channels all supported SQL operations, including filters and JOINs, directly to Amazon S3. This leverages server-side processing to swiftly deliver the requested Amazon S3 data.

Configure Amazon S3 Connectivity for AppSheet

Connectivity to Amazon S3 from AppSheet is made possible through CData Connect Cloud. To work with Amazon S3 data from AppSheet, we start by creating and configuring a Amazon S3 connection.

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Amazon S3" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Amazon S3.

    To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

    Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

    For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Amazon S3 Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  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, you are ready to connect to Amazon S3 data from AppSheet.

Connect to Amazon S3 from AppSheet

The steps below outline connecting to CData Connect Cloud from AppSheet to create a new Amazon S3 data source.

  1. Log into AppSheet
  2. Click "My account" in the menu
  3. Click the Sources tab and add a new data source
  4. Select Cloud Database and set the connection information
    • Type: Sql Server
    • Server: tds.cdata.com,14333
    • Database: the Amazon S3 connection, for example, AmazonS31
    • Username: a Connect Cloud user, for example, user@mydomain.com
    • Password: the PAT for the above Connect Cloud user
    • SSL: Require SSL
  5. Click "Test Connection"
  6. Click "Authorize Access"

Create an App

Once you create the data source for Amazon S3, you can start building apps on Amazon S3 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

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.

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud today!