Connect to Act CRM 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 Act CRM data. This article demonstrates how to connect to Act CRM using Connect Cloud and query Act CRM data in HeidiSQL.

CData Connect Cloud provides a pure SQL Server interface for Act CRM, allowing you to query data from Act CRM 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 Act CRM, leveraging server-side processing to return the requested Act CRM data quickly.

Configure Act CRM Connectivity for HeidiSQL

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

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

   The User and Password properties, under the Authentication section, must be set to valid Act! user credentials. In addition to the authentication values, see the following:

   • Connecting to Act! Premium

     In addition to the authentication values, the URL to Act! is also required; for example https://eup1-iis-04.eu.hosted.act.com/.

     Additionally, you must specify the ActDatabase you will connect to. This is found by going to the About Act! Premium menu of your account, at the top right of the page, in the ? menu. Use the Database Name in the window that appears.

   • Connecting to Act! Premium Cloud

     To connect to your Act! Premium Cloud account, you also need to specify the ActCloudName property. This property is found in the URL address of the Cloud account; for example https://eup1-iis-04.eu.hosted.act.com/ActCloudName/.

   Note that retrieving ActCRM metadata can be expensive. It is advised that you set the CacheMetadata property to store the metadata locally.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Act CRM 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 Act CRM 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-Act CRM

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 Act CRM from HeidiSQL

1. In the database listing on the left, find your connection to Act CRM configured earlier.
2. Expand this connection to view individual tables or data objects present within Act CRM.
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

Get CData Connect Cloud

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