How to connect Acapela Cloud and Microsoft SQL Server
Create a New Scenario to Connect Acapela Cloud and Microsoft SQL Server
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Acapela Cloud, triggered by another scenario, or executed manually (for testing purposes). In most cases, Acapela Cloud or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Acapela Cloud or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Acapela Cloud Node
Select the Acapela Cloud node from the app selection panel on the right.

Acapela Cloud
Configure the Acapela Cloud
Click on the Acapela Cloud node to configure it. You can modify the Acapela Cloud URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the Acapela Cloud node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the Acapela Cloud and Microsoft SQL Server Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Acapela Cloud and Microsoft SQL Server Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Acapela Cloud, Microsoft SQL Server, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Acapela Cloud and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Acapela Cloud and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Acapela Cloud and Microsoft SQL Server
Microsoft SQL Server + Acapela Cloud + Slack: When a new or updated row is added to a Microsoft SQL Server database, it triggers Acapela Cloud to download the associated audio file, and then sends a message to a designated Slack channel, notifying users of the new audio file.
Microsoft SQL Server + Google Cloud Text-To-Speech + Acapela Cloud: When a new or updated row is added to a Microsoft SQL Server database, use the text data in that row to generate an audio file using Google Cloud Text-To-Speech. Then, upload this newly generated audio file to Acapela Cloud for storage.
Acapela Cloud and Microsoft SQL Server integration alternatives
About Acapela Cloud
Need realistic voice synthesis? Integrate Acapela Cloud in Latenode to automate voice responses in your workflows. Generate audio from text for IVR systems, content creation, or accessibility features. Use Latenode's visual editor and JS node for full control over text prompts and delivery, scaling voice automation affordably.
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About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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FAQ Acapela Cloud and Microsoft SQL Server
How can I connect my Acapela Cloud account to Microsoft SQL Server using Latenode?
To connect your Acapela Cloud account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Acapela Cloud and click on "Connect".
- Authenticate your Acapela Cloud and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive voice data in SQL from Acapela?
Yes, you can archive Acapela Cloud voice data directly into your Microsoft SQL Server database using Latenode. Latenode’s visual editor makes building such integrations incredibly simple, ensuring data durability and compliance.
What types of tasks can I perform by integrating Acapela Cloud with Microsoft SQL Server?
Integrating Acapela Cloud with Microsoft SQL Server allows you to perform various tasks, including:
- Store synthesized speech outputs from Acapela Cloud in a database.
- Trigger Acapela Cloud voice generation based on database events.
- Log Acapela Cloud usage statistics directly into Microsoft SQL Server.
- Create automated reports on voice data stored within your SQL database.
- Synchronize voice prompts with customer data in Microsoft SQL Server.
HowdoesLatenodehandlelargeAcapelaCloudfiles?
Latenode efficiently manages large files by leveraging its serverless architecture and chunking. This guarantees smooth processing and storage of Acapela Cloud audio data.
Are there any limitations to the Acapela Cloud and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require custom JavaScript code for optimal performance.
- Real-time data synchronization depends on the API rate limits of both services.
- Handling extremely large audio files might require additional memory allocation.