Connect Bexio and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Order
New Quote
New Sales-Invoice
New/Updated Company
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Bexio and Neo4j
Enable Integrations or automations with these events of Bexio and Neo4j
Triggers
New Order
Triggers when a new order is created
New Quote
Triggers when a new quote is created or updated
New Sales-Invoice
Triggers when a new sales invoice is created or updated
New/Updated Company
Triggers when a company is added or updated
Actions
Create Product
Creates a product
Create Project
Creates a Project
Create Person
Creates a person
Create Company
Creates a company
Export Invoice to PDF
Exports an existing sales invoice as a pdf document
Search Project
Search a project
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Frequently Asked Questions
To start, connect both your Bexio and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Bexio triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Bexio data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Bexio and Neo4j typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Bexio and Neo4j. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Bexio
Bexio is a business platform for offering accounting, invoices, payroll, and more for small companies in Switzerland.
Learn MoreAbout Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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