HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL.
When paired with CData Connect AI, HediSQL reach extends to include access to live Monday.com data. This article demonstrates
how to connect to Monday.com using Connect AI and query Monday.com data in HeidiSQL.
CData Connect AI 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 AI 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 AI. To work with Monday.com data from HeidiSQL, we start by creating and configuring a Monday.com connection.
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Log into Connect AI, click Sources, and then click Add Connection
π Adding a Connection
- Select "Monday.com" from the Add Connection panel
π Selecting a data source
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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
- Log in to your Monday.com account and click on your avatar in the bottom left corner.
- Select Admin.
- Select "API" on the left side of the Admin page.
- Click the "Copy" button to copy the user's API token.
- API tokens for non-admin users
- Click on your profile picture in the bottom left of your screen.
- Select "Developers"
- Click "Developer" and then "My Access Tokens" at the top.
- 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).
π Configuring a connection (Salesforce is shown)
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Click Save & Test
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Navigate to the Permissions tab in the Add Monday.com Connection page and update the User-based permissions.
π 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.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
π Creating a new PAT
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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 Monday.com data from HeidiSQL.
Connect to Monday.com from HeidiSQL using Connect AI
To establish a connection from HeidiSQL to the CData Connect AI Virtual SQL Server API, follow these steps.
Create a new HeidiSQL Session
- In the Session Manager, select New in the bottom-left
- Give the new session a descriptive name, e.g. Connect-Cloud-Monday.com
π Creating a new session in HeidiSQL.
Configure a SQL Server Connection to Connect AI
- In the session settings, set the Network type to Microsoft SQL Server (TCP/IP)
- The Library DLL should automatically update to MSOLEDBSQL
- Set the Hostname/IP to tds.cdata.com
- Set the User to your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected]
- Set the Password to your PAT created in Connect AI in the previous section.
- Set the Port to 14333
π Configuring a SQL Server connection to Connect AI
Query Monday.com from HeidiSQL
- In the database listing on the left, find your connection to Monday.com configured earlier.
- Expand this connection to view individual tables or data objects present within Monday.com.
- 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
π Querying within HeidiSQL.
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