Connect Workzappy and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Workzappy
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Workzappy and Neo4j
Enable Integrations or automations with these events of Workzappy and Neo4j
Actions
New Task
Create a new task.
New Project
Create a new Project.
New Phase
Create a new phase(sprint) for your project
New Tag
Create a New tag.
Remove Task hold
Remove a specific Task.
Enable Organization User
Enable Organization User.
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Frequently Asked Questions
To start, connect both your Workzappy and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Workzappy triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Workzappy 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 Workzappy 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 Workzappy 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 Workzappy
Workzappy is a comprehensive platform designed to enhance productivity and streamline project management for teams and businesses. It offers a suite of tools that facilitate task management, collaboration, and communication, ensuring that projects are completed efficiently and effectively.
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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