Microsoft SQL Server and Acuity Scheduling Integration

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Sync Microsoft SQL Server data with Acuity Scheduling to automate appointment booking based on real-time inventory or resource availability. Latenode's visual editor and affordable pricing make complex scheduling logic easy to build and scale.

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Microsoft SQL Server

Acuity Scheduling

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SQL Server and Acuity Scheduling

Create a New Scenario to Connect Microsoft SQL Server and Acuity Scheduling

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 Microsoft SQL Server, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft SQL Server or Acuity Scheduling will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Acuity Scheduling, and select the appropriate trigger to start the scenario.

Add the Microsoft SQL Server Node

Select the Microsoft SQL Server node from the app selection panel on the right.

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Microsoft SQL Server

Configure the Microsoft SQL Server

Click on the Microsoft SQL Server node to configure it. You can modify the Microsoft SQL Server URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Acuity Scheduling Node

Next, click the plus (+) icon on the Microsoft SQL Server node, select Acuity Scheduling from the list of available apps, and choose the action you need from the list of nodes within Acuity Scheduling.

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Microsoft SQL Server

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Acuity Scheduling

Authenticate Acuity Scheduling

Now, click the Acuity Scheduling node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Acuity Scheduling settings. Authentication allows you to use Acuity Scheduling through Latenode.

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Microsoft SQL Server

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Configure the Microsoft SQL Server and Acuity Scheduling Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Microsoft SQL Server and Acuity Scheduling 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 Microsoft SQL Server, Acuity Scheduling, 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 Microsoft SQL Server and Acuity Scheduling integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Acuity Scheduling (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Microsoft SQL Server and Acuity Scheduling

Acuity Scheduling + Slack + Microsoft SQL Server: When a new appointment is scheduled in Acuity Scheduling, a notification is sent to a Slack channel to alert the team. The appointment details are then saved into a Microsoft SQL Server database for record-keeping.

Acuity Scheduling + Microsoft SQL Server + Google Sheets: When a new appointment is created in Acuity Scheduling, the details are stored in a Microsoft SQL Server database. Simultaneously, key appointment metrics are tracked in a Google Sheets spreadsheet.

Microsoft SQL Server and Acuity Scheduling integration alternatives

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.

About Acuity Scheduling

Automate appointment scheduling with Acuity inside Latenode. Sync appointments to calendars, send reminders, and update CRMs automatically. Ditch manual data entry and build custom workflows using Latenode’s visual editor and API-first design. Scale your scheduling processes without code or per-step pricing limits.

See how Latenode works

FAQ Microsoft SQL Server and Acuity Scheduling

How can I connect my Microsoft SQL Server account to Acuity Scheduling using Latenode?

To connect your Microsoft SQL Server account to Acuity Scheduling on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft SQL Server and click on "Connect".
  • Authenticate your Microsoft SQL Server and Acuity Scheduling accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I update SQL Server when a new appointment is scheduled?

Yes, you can! Latenode's visual editor makes this easy. Automatically update your database with new appointment details, ensuring your data is always current and actionable.

What types of tasks can I perform by integrating Microsoft SQL Server with Acuity Scheduling?

Integrating Microsoft SQL Server with Acuity Scheduling allows you to perform various tasks, including:

  • Backing up Acuity Scheduling data to a secure SQL Server database.
  • Synchronizing client data between Acuity Scheduling and SQL Server.
  • Generating custom reports on appointment data using SQL queries.
  • Triggering follow-up actions in Acuity based on data in SQL Server.
  • Analyzing scheduling trends by combining data sources using Latenode AI.

What data types are supported when using Microsoft SQL Server on Latenode?

Latenode supports all standard Microsoft SQL Server data types, providing flexibility when mapping fields and designing workflows.

Are there any limitations to the Microsoft SQL Server and Acuity Scheduling integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large data transfers from SQL Server may impact workflow execution time.
  • Custom SQL queries require a basic understanding of SQL syntax.
  • Complex data transformations might require JavaScript coding.

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