Integrate Aha! Data into Power Automate Desktop using CData Connect
CData Connect enables you to access live Aha! data in workflow automation tools like Power Automate. This article shows how to integrate Aha! data into a simple workflow, saving Aha! data into a CSV file.
CData Connect provides a live interface for Aha!, allowing you to integrate with live Aha! data in Power Automate — without replicating the data. Connect uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Aha!, leveraging server-side processing to quickly return Aha! data.
Configure Aha! Connectivity for Power Automate
Connectivity to Aha! from Power Automate is made possible through CData Connect AI. To work with Aha! data from Power Automate, we start by creating and configuring a Aha! connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Aha!" from the Add Connection panel
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Enter the necessary authentication properties to connect to Aha!.
Start by setting the Profile connection property to the location of the Aha! Profile on disk (e.g. C:\profiles\aha.apip). Next, set the ProfileSettings connection property to the connection string for Aha! (see below).
Aha! API Profile Settings
The Aha! API uses OAuth-based authentication.
You will first need to register an OAuth app with Aha!. This can be done from your Aha! account under 'Settings' > 'Personal' > 'Developer' > 'OAuth Applications'. Additionally, set the Domain, found in the domain name of your Aha account. For example if your Aha account is acmeinc.aha.io, then the Domain should be 'acmeinc'.
After setting the following in the connection string, you are ready to connect:
- AuthScheme: Set this to OAuth.
- InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
- OAuthClientId: Set this to the client_id that is specified in you app settings.
- OAuthClientSecret: Set this to the client_secret that is specified in you app settings.
- CallbackURL: Set this to the Redirect URI you specified in your app settings.
- Domain: Set this in the ProfileSettings to your Aha domain.
- Click Save & Test
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Navigate to the Permissions tab in the Add Aha! Connection page and update the User-based 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- 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.
- 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 Aha! data from Power Automate Desktop.
Integrate Aha! Data into Power Automate Workflows
After configuring CData Connect with Aha!, you are ready to integrate Aha! 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 options to connect to Aha!, query Aha! using SQL, and write the query results to a CSV document.
Add an Open SQL Connection Action
Add an "Open SQL connection" action (Action -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:
- On the Provider tab: select Microsoft OLE DB Driver for SQL Server
- On the Connection tab:
- Select or enter a server name: set to tds.cdata.com,14333
- Enter information to lag onto the server: select "Use a specific username and password"
- Set User name to your CData Connect AI user name (e.g. [email protected])
- Set Password to your PAT
- Select the database: use the database configured above (e.g. API1)
- Click "Test Connection" to ensure the connection is configured properly
- 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 (Action -> 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 Ideas
After configuring the properties, save the action.
Add a Write to CSV File Action
Add a "Write to CSV file" action (Action -> 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 (Action -> 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 options 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 save Aha! data into a CSV file.
With CData Connect AI, you get live connectivity to Aha! data within your Microsoft Power Automate workflows.
SQL Access to Aha! Data from Cloud Applications
Now you have a direct connection to live Aha! data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating Aha! data.
To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.
Related Power Automate Articles
This article explains how to use CData Connect AI with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):