Connect Ryver and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Team
New Posts
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Ryver and Neo4j
Enable Integrations or automations with these events of Ryver and Neo4j
Triggers
New Team
Triggered when a new room is created.
New Posts
Fetch posts created in a selected team (workroom), forum, or user stream since the specified time.
Actions
Send Chat Message
Send a message to a team (workroom), forum, or user in Ryver.
Create Team
Create a new Ryver team (workroom) with name, nickname, description, security setting, avatar and active status.
Upload File
Attach a file (URL or text) as a post to a Team (workroom), Forum, or User in Ryver.
Create Post
Create a post in Ryver to a forum, team (workroom), or user feed with an optional subject and body.
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Frequently Asked Questions
To start, connect both your Ryver and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Ryver triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Ryver 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 Ryver 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 Ryver 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 Ryver
Ryver organizes all your collaboration in one app with team chat, task management, and voice and video calls.
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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