Connect to Monday.com Data from HeidiSQL

HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with CData Connect Cloud, HediSQL reach extends to include access to live Monday.com data. This article demonstrates how to connect to Monday.com using Connect Cloud and query Monday.com data in HeidiSQL.

CData Connect Cloud provides a pure SQL Server interface for Monday.com, allowing you to query data from Monday.com without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Monday.com, leveraging server-side processing to return the requested Monday.com data quickly.

Configure Monday.com Connectivity for HeidiSQL

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

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

   You can connect to Monday.com using either API Token authentication or OAuth authentication.

   Connecting with an API Token

   Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

   • API tokens for admin users
     1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
     2. Select Admin.
     3. Select "API" on the left side of the Admin page.
     4. Click the "Copy" button to copy the user's API token.
   • API tokens for non-admin users
     1. Click on your profile picture in the bottom left of your screen.
     2. Select "Developers"
     3. Click "Developer" and then "My Access Tokens" at the top.
     4. Select "Show" next to the API token, where you'll be able to copy it.

   Connecting with OAuth Authentication

   Alternatively, you can establish a connection using OAuth (refer to the OAuth section of the Help documentation).

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Monday.com 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.

Connect to Monday.com from HeidiSQL using Connect Cloud

To establish a connection from HeidiSQL to the CData Connect Cloud Virtual SQL Server API, follow these steps.

Create a new HeidiSQL Session

1. In the Session Manager, select New in the bottom-left
2. Give the new session a descriptive name, e.g. Connect-Cloud-Monday.com

Configure a SQL Server Connection to Connect Cloud

1. In the session settings, set the Network type to Microsoft SQL Server (TCP/IP)
2. The Library DLL should automatically update to MSOLEDBSQL
3. Set the Hostname/IP to tds.cdata.com
4. Set the User to your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected]
5. Set the Password to your PAT created in Connect Cloud in the previous section.
6. Set the Port to 14333

Query Monday.com from HeidiSQL

1. In the database listing on the left, find your connection to Monday.com configured earlier.
2. Expand this connection to view individual tables or data objects present within Monday.com.
3. Write custom SQL queries targeting these tables, treating the data source like any SQL Server database, or visually explore each tabular data set by selecting the relevant tables

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