How to connect PostgreSQL and Bigin by Zoho CRM
Create a New Scenario to Connect PostgreSQL and Bigin by Zoho CRM
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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Bigin by Zoho CRM will be your first step. To do this, click "Choose an app," find PostgreSQL or Bigin by Zoho CRM, and select the appropriate trigger to start the scenario.

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


PostgreSQL

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


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Authenticate Bigin by Zoho CRM
Now, click the Bigin by Zoho CRM node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Bigin by Zoho CRM settings. Authentication allows you to use Bigin by Zoho CRM through Latenode.
Configure the PostgreSQL and Bigin by Zoho CRM 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 PostgreSQL and Bigin by Zoho CRM 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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Bigin by Zoho CRM
Trigger on Webhook
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Webhook response


Save and Activate the Scenario
After configuring PostgreSQL, Bigin by Zoho CRM, 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 PostgreSQL and Bigin by Zoho CRM integration works as expected. Depending on your setup, data should flow between PostgreSQL and Bigin by Zoho CRM (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PostgreSQL and Bigin by Zoho CRM
Bigin by Zoho CRM + PostgreSQL + Google Sheets: When a new contact is created in Bigin, relevant data from PostgreSQL is retrieved and added to a Google Sheet for consolidated reporting.
Bigin by Zoho CRM + PostgreSQL + Slack: When a deal is closed in Bigin, the flow retrieves related information from PostgreSQL and sends a notification to a designated Slack channel.
PostgreSQL and Bigin by Zoho CRM integration alternatives

About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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About Bigin by Zoho CRM
Sync Bigin by Zoho CRM data with other apps in Latenode to automate deal pipelines. Update records, trigger custom actions, and route data based on deal stages. Use visual tools or code for tailored workflows. Automate lead nurturing, task creation, and reporting across your business without complex coding or high per-task costs.
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FAQ PostgreSQL and Bigin by Zoho CRM
How can I connect my PostgreSQL account to Bigin by Zoho CRM using Latenode?
To connect your PostgreSQL account to Bigin by Zoho CRM on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PostgreSQL and click on "Connect".
- Authenticate your PostgreSQL and Bigin by Zoho CRM accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync new PostgreSQL data to Bigin contacts?
Yes, you can! Latenode enables real-time synchronization. Automatically update Bigin contacts with new PostgreSQL data, ensuring your CRM always reflects the latest information. This saves time and improves data accuracy.
What types of tasks can I perform by integrating PostgreSQL with Bigin by Zoho CRM?
Integrating PostgreSQL with Bigin by Zoho CRM allows you to perform various tasks, including:
- Automatically creating new Bigin leads from PostgreSQL database entries.
- Updating existing Bigin contact details with data from PostgreSQL tables.
- Triggering Bigin workflows based on changes in your PostgreSQL database.
- Generating custom reports in Bigin using PostgreSQL data.
- Populating PostgreSQL database tables with information from Bigin deals.
Can I use custom SQL queries within my Latenode PostgreSQL workflows?
Yes, Latenode allows you to execute custom SQL queries, giving you precise control over data extraction and manipulation within your PostgreSQL integrations.
Are there any limitations to the PostgreSQL and Bigin by Zoho CRM integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript for advanced handling.
- The number of API calls is subject to Bigin by Zoho CRM's rate limits.
- Initial setup requires familiarity with both PostgreSQL and Bigin data structures.