How to connect Microsoft SQL Server and Ocean.io
Create a New Scenario to Connect Microsoft SQL Server and Ocean.io
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 Ocean.io will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Ocean.io, 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.


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


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Authenticate Ocean.io
Now, click the Ocean.io node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Ocean.io settings. Authentication allows you to use Ocean.io through Latenode.
Configure the Microsoft SQL Server and Ocean.io 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 Microsoft SQL Server and Ocean.io 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, Ocean.io, 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 Ocean.io integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Ocean.io (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 Ocean.io
Ocean.io + Microsoft SQL Server + Slack: When a new lead matching specific criteria is found in Ocean.io using the 'Search People' action, the lead's information is stored in Microsoft SQL Server using the 'Insert Row' action, and a notification is sent to the sales team in Slack via 'Send Public Channel Message'.
Ocean.io + Microsoft SQL Server + HubSpot: When a new lead is found in Ocean.io using 'Search People', the lead data is added to Microsoft SQL Server using 'Insert Row' and a contact is created in HubSpot using 'Create Contact' for marketing automation purposes.
Microsoft SQL Server and Ocean.io 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.
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About Ocean.io
Use Ocean.io in Latenode to enrich lead data and target outreach. Identify ideal customer profiles automatically and pass qualified leads into your CRM or sales sequences. Latenode lets you add custom logic, filter leads, and trigger actions based on Ocean.io insights, creating scalable lead gen workflows without code.
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See how Latenode works
FAQ Microsoft SQL Server and Ocean.io
How can I connect my Microsoft SQL Server account to Ocean.io using Latenode?
To connect your Microsoft SQL Server account to Ocean.io 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 Ocean.io accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich Ocean.io leads with SQL data?
Yes, you can! Latenode lets you seamlessly enrich Ocean.io leads using data from Microsoft SQL Server. Enhance lead quality and personalize outreach using a powerful no-code automation.
What types of tasks can I perform by integrating Microsoft SQL Server with Ocean.io?
Integrating Microsoft SQL Server with Ocean.io allows you to perform various tasks, including:
- Automatically updating Ocean.io with new Microsoft SQL Server data entries.
- Triggering Ocean.io actions based on specific SQL Server database changes.
- Creating and updating leads in Ocean.io from SQL Server database content.
- Synchronizing customer data between Microsoft SQL Server and Ocean.io in real-time.
- Using Latenode's AI features to classify and segment Ocean.io leads with SQL data.
How secure is my Microsoft SQL Server data when using Latenode?
Latenode uses advanced encryption and secure connection protocols to ensure your Microsoft SQL Server data is protected at all times, leveraging robust security measures.
Are there any limitations to the Microsoft SQL Server and Ocean.io integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the database size.
- Complex SQL queries might require JavaScript or prompt-based AI modification.
- Certain advanced Ocean.io features might not be fully supported initially.