
When this happens...

Automatically do this!
Create Contact
List All Contacts
Create Job
Find Contact by ID
List All Jobs
List All Tasks
List All Activities
List All Products
List All Estimates
List All Invoices
List All Payments
List All Users
Create Attachment
Update Task
Create Task
Create Activity
Create Product
Create a File Type
Create a Task Type
Update Job
Delete Contact
Delete Job
Delete Task
Enable Integrations or automations with these events of Neo4j and JobNimbus
Trigger when a new task is created, modified or deleted.
Trigger when New Estimate is created.
Trigger when a invoice status is changed to sent.
create a new contact within JobNimbus.
Retrieves the details of all contacts
Creates a new job, requiring a Contact ID from Create Contact.
Find Contact by ID
Retrieves the details of all the jobs within a JobNimbus account.
Retrieves the details of all the tasks within a JobNimbus account.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Neo4j and JobNimbus accounts to viaSocket. Once connected, you can set up a workflow where an event in Neo4j triggers actions in JobNimbus (or vice versa).
Absolutely. You can customize how Neo4j data is recorded in JobNimbus. This includes choosing which data fields go into which fields of JobNimbus, setting up custom formats, and filtering out unwanted information.
The data sync between Neo4j and JobNimbus 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 Neo4j and JobNimbus. 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.
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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