Connect Swit and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Idea
New Message
New Comment on Task
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Swit and Neo4j
Enable Integrations or automations with these events of Swit and Neo4j
Triggers
New Idea
Triggers when a new idea is posted on a specific channel.
New Message
Triggers when a new message is posted on a specific channel.
New Comment on Task
Triggers when a new comment is posted to a specific task.
Actions
Create Channel
Creates a channel in a workspace you select.
Create Idea
Posts an idea on a channel you select.
Create Message
Posts a message on a channel you select.
Create Project
Creates a project in a workspace you select.
Create Task
Creates a task in a project you select.
Create Comment on Task
Posts a comment to a task you select.
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Frequently Asked Questions
To start, connect both your Swit and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Swit triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Swit 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 Swit 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 Swit 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 Swit
Swit is one work suite for Chat and Project Management. With Swit, you can replace other team collaboration tools.
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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