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Get the Report →Seamlessly Bring SingleStore Data into Retool Using CData Connect Cloud
Integrate SingleStore data into Retool with CData Connect Cloud to build smarter apps and streamline workflows with real-time data access.
Retool enables the rapid creation of custom internal tools using a low-code or no-code approach. By integrating SingleStore into Retool with CData Connect Cloud, you can access live data from SingleStore in real time, enabling you to build more efficient apps and streamline workflows.
This guide walks you through the simple steps to connect SingleStore to Retool via CData Connect Cloud using OpenAPI or the Virtual SQL Server API. You can securely connect to your SingleStore data, ensuring seamless integration and real-time updates, empowering you to create smarter apps and enhance operational efficiency. Let's get started!
Overview
Here is an overview of the steps:
- Configure: (Optional) Set up your SingleStore data source in CData Connect Cloud, add a Workspace to Virtual Datasets, add assets to your Workspace, and generate a Personal Access Token (PAT).
- Connect: Link Retool to CData Connect Cloud using OpenAPI or the Virtual SQL Server API.
- Explore: Use your connected data to build smarter apps and explore advanced integrations.
Prerequisites
Ensure you have the following before starting:
- An active SingleStore account and credentials.
- A CData Connect Cloud account. Log in or sign up for a free trial here.
- A Retool account. Sign up here.
STEP 1: Configure the SingleStore Connectivity for Retool (in CData Connect Cloud)
Add a SingleStore connection in CData Connect Cloud to integrate it with Retool.
Note: This step is optional and can be skipped if you have already connected to the SingleStore data source.


The following connection properties are required in order to connect to data.
- Server: The host name or IP of the server hosting the SingleStore database.
- Port: The port of the server hosting the SingleStore database.
- Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.
Connect Using Standard Authentication
To authenticate using standard authentication, set the following:
- User: The user which will be used to authenticate with the SingleStore server.
- Password: The password which will be used to authenticate with the SingleStore server.
Connect Using Integrated Security
As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.
Connect Using SSL Authentication
You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:
- SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
- SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSLClientCertType: The certificate type of the client store.
- SSLServerCert: The certificate to be accepted from the server.
Connect Using SSH Authentication
Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:
- SSHClientCert: Set this to the name of the certificate store for the client certificate.
- SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSHClientCertType: The certificate type of the client store.
- SSHPassword: The password that you use to authenticate with the SSH server.
- SSHPort: The port used for SSH operations.
- SSHServer: The SSH authentication server you are trying to authenticate against.
- SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
- SSHUser: Set this to the username that you use to authenticate with the SSH server.


If the connection fails, refer to error messages for guidance in the documentation. Some data sources require direct sign-in, which can be completed via the Sign In button if prompted.
Configure the Virtual Datasets and Workspace, and Generate a Personal Access Token (PAT).
Once you've connected SingleStore into the CData Connect Cloud, configure virtual Datasets and Workspaces, and then generate a personal access token (PAT) to enable seamless integration and data management across various connected data sources.
Virtual Datasets in CData Connect Cloud simplify access to diverse data sources, supporting tables, views, and derived views with full CRUD capabilities. Workspaces organize datasets, offer SQL Server, connectivity endpoints, and include assets like folders for efficient management. Learn more about Virtual Datasets here
- Create a Workspace:
- Click Virtual Datasets () on the left, then Add on the top right.
- Enter a Workspace Name and click Confirm to create the workspace.
- Create a Virtual Dataset or Folder:
- In the workspace, click Add on the top right, select from the menu (Folder, Tables and Views, or Derived Views), and provide the necessary details (e.g., folder name, connection, tables/views).
- Click Confirm to add the asset.
- For any asset, the tabs show:
- Columns: Metadata table.
- Preview: Data item preview.
- SQL: Generated SQL query, including the configurable Alias.



Personal Access Tokens (PATs) in CData Connect Cloud allow connections via REST API, OData, or Virtual SQL Server.
- To create a new PAT:
- Go to Settings (top right) > Access Tokens.
- Click Create PAT, enter a name, then click Create.
- Copy the PAT using the copy icon. NOTE: The PAT can't be viewed again after closing the dialog, so make sure to copy it before clicking OK.
- Click OK to close the dialog, and save the copied PAT for use in proceeding steps.
- To regenerate a PAT, click the regeneration icon () in the PAT list and follow the prompts.


STEP 2: Connect Retool to SingleStore in CData Connect Cloud
Now that you've configured your SingleStore connection in CData Connect Cloud, it's time to integrate it with Retool.
Retool can be connected to SingleStore in CData Connect Cloud via either OpenAPI or the Virtual SQL Server API. Choose the method that best suits your workflow:
Connect via OpenAPI
To connect using the OpenAPI specification, follow these steps:
- On CData Connect Cloud, from the left-hand side, go to Virtual Database > select a Workspace.
- Click the View Endpoints, and under the OpenAPI, copy the OpenAPI URL for the workspace. Keep the default options. See OpenAPI section for more information.
- Login to Retool and then go to the Resources tab, click Create new > Resource.
- In the Select a resource type search bar, and search for OpenAPI.
- Click OpenAPI. The Configure OpenAPI screen appears. Enter the following information to configure the OpenAPI connector:
- Name: The Connection Name to identify the connector on Retool.
- Specification URL: The OpenAPI URL you copied from the Workspace in CData Connect Cloud. Paste the URL here.
- Forward headers when fetching OpenAPI spec: Check this box.
- Under the URL parameters, keep the key-value pair unchanged.
- In the Headers section, write the key as Authorization and in the value, write Basic.
- For the Basic connection value, Retool requires a base64-encoded version of your CData Connect Cloud username:PAT combination (where PAT is the token you generated earlier). Use a tool like this to encode the value. For example, [email protected]:12345 encodes to dGVzdEBjZGF0YS5TIzNDU=. Copy this encoded value and paste it into the value field after Basic with a space.
- Username: Enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
- Password: Enter the PAT you generated on the Settings page.
- Click Test connection to test your connection configuration. Once you have a successful connection, click Create resource.
- Create the app in Retool in which to integrate your data.
- Click Create resource query.
- Select the new resource you created, and view the endpoints that are available.
- You can now build your app with your live SingleStore data.

Connect via Virtual SQL Server API
To connect using the Virtual SQL Server API, follow these steps:
- Login to Retool, then go to Resources. Click Connect New at the top-right and select Resources.
- Enter Microsoft SQL in the search bar, click the resulting option, and enter the following details:
- Name: A name for the connection to CData Connect Cloud.
- Host: tds.cdata.com.
- Port: 1433.
- Database Name: Enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, Salesforce1).
- Database Username: Enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
- Database Password: Enter the PAT you generated on the Settings page.
- Click Test Connection. If the connection fails, you might need to whitelist CData Connect Cloud IPs for Retool and other data sources. Check out the documentation here.
- If it succeeds, click Create Resource.
- Your connection is now set up, and you can build your app with live SingleStore data.



STEP 3: Build Retool Apps with Your Live SingleStore Data
Now that you have integrated SingleStore with Retool using CData Connect Cloud, it's time to utilize your live data to its full potential. Let's build a simple app:
- Step 1: Set Up the Table (on home screen)
- Create a New App in Retool.
- Select your SingleStore connection.
- Add a Table component and bind it to SingleStore's data.
- Step 2: Add Filters (on top-right)
- Add a Dropdown to filter by Opportunity Stage.
- Add a Text Input for searching Account Name.
- Step 3: Display Key Metrics (below Table)
- Add a Text component to show Total Amount of filtered opportunities.
- Use a query to sum the Amount for filtered data.
- Step 4: Add Visuals (top-right or side panel)
- Add a Bar Chart to visualize opportunities by Stage.
- Add a Line Chart to show Expected Revenue over time.
- Step 5: Test and Deploy (top-right)
- Test filters, search, and charts.
- Deploy the app and share the link for access.
With these steps, you've successfully created a dynamic app to manage and visualize your Salesforce opportunities. Enjoy exploring your live data and leveraging it for better insights!
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