Connect Rocketlane and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Project Created
Project Updated
Task Updated
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Rocketlane and Neo4j
Enable Integrations or automations with these events of Rocketlane and Neo4j
Triggers
New Project Created
Triggers when a new project is created.
Project Updated
Triggers when a project is updated.
Task Updated
Triggers when a task is updated.
Actions
Create Project
Creates a project.
Archive Project
Archives a project.
Create Task
Creates a task.
Delete Project
Deletes a project.
Import Template to Project
Imports one templates to a project.
Update Project
Updates a project.
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Frequently Asked Questions
To start, connect both your Rocketlane and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Rocketlane triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Rocketlane 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 Rocketlane 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 Rocketlane 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 Rocketlane
Rocketlane is a collaborative customer onboarding platform that helps you shorten time to value and deliver a delightful onboarding experience.
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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