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CData Connect Server

How to Use CData Connect to Access Live Sage 300 Data in Power Automate



CData Connect for Sage 300 enables you to integrate Sage 300 data into workflows built using Microsoft Power Automate Desktop.

CData Connect enables you to access live Sage 300 data in workflow automation tools like Power Automate. This article shows how to integrate Sage 300 data into a simple workflow, moving Sage 300 data into a CSV file.

CData Connect provides a pure SQL interface for Sage 300, allowing you to easily integrate with live Sage 300 data in Power Automate — without replicating the data. Connect looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Sage 300, leveraging server-side processing to quickly return Sage 300 data.

Create a Virtual SQL Database for Sage 300 Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Server and click Connections.
  2. Select "Sage 300" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Sage 300.

    Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

    • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
    • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
    • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

    Authenticate to Sage 300 using Basic authentication.

    Connect Using Basic Authentication

    You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

    • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
    • User: Set this to the username of your account.
    • Password: Set this to the password of your account.
  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

How to Integrate Sage 300 Data into Power Automate Workflows

After configuring CData Connect with Sage 300, you are ready to integrate Sage 300 data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.

In the flow editor, you can add the actions to connect to Sage 300, query Sage 300 using SQL, and write the query results to a CSV document.

Add an Open SQL Connection Action

Add an "Open SQL connection" action (Actions -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:

  1. On the Provider tab: select Microsoft OLE DB Driver for SQL Server
  2. On the Connection tab:
    1. Select or enter a server name: set to the address and port of the SQL (TDS) endpoint of CData Connect, separated by a comma (e.g. localhost,8033)
    2. Enter information to log onto the server: select "Use a specific username and password" and use CData Connect credentials
    3. Select the database: use the database configured above (e.g. Sage3001)
  3. Click "Test Connection" to ensure the connection is configured properly
  4. Click "OK"

After building the connection string in the Data Link Properties wizard, save the action.

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.

  • Get connection by: SQL connection variable
  • SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
  • SQL statement: SELECT * FROM OEInvoices

After configuring the properties, save the action.

Add a Write to CSV File Action

Add a "Write to CSV file" action (Actions -> File) and configure the properties.

  • Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
  • File path: set to a file on disk
  • Configure Advanced settings as needed.

After configuring the properties, save the action.

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Actions -> Database) and configure the properties.

  • SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the properties, save the action.

Save & Run the Flow

Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.

Now you have a workflow to move Sage 300 data into a CSV file.

With CData Connect, you get live connectivity to Sage 300 data within your Microsoft Power Automate workflows.

Related Power Automate Articles

This article walks through using CData Connect Server with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):