Connect Orderspace and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Customer
New Dispatch
New Invoice
New Order
New Payment
New Product
Updated Customer
Updated Inventory Level
Updated Order
Delete Customer
Deleted Invoice
Updated Product
Deleted Product
Deleted Order
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Orderspace and Neo4j
Enable Integrations or automations with these events of Orderspace and Neo4j
Triggers
New Customer
Triggers when a new customer is created.
New Dispatch
Triggers when a new dispatch is created.
New Invoice
Triggers when a new invoice is created.
New Order
Triggers when a new order is created.
New Payment
Triggers when a new payment is created.
New Product
Triggers when a new product is created.
Actions
Create Customer
Creating a new customer
Create a Price List
Create a new price list.
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Frequently Asked Questions
To start, connect both your Orderspace and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Orderspace triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Orderspace 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 Orderspace 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 Orderspace 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 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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