Connect TeamGantt and Neo4j to Build Intelligent Automations
Enable Integrations or automations with these events of TeamGantt and Neo4j
Enable Integrations or automations with these events of TeamGantt and Neo4j
Triggers
New Project Comment
Trigger when New Project Comment created.
Actions
Create Task
Creates a new task in a specified project.
Update Task
Updates details for an existing task.
Delete Task
Deletes an existing task from a project.
Get a Task
Get a task details by task ID
List Projects
List all projects
List Boards
List all Boards
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
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Frequently Asked Questions
To start, connect both your TeamGantt and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in TeamGantt triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how TeamGantt 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 TeamGantt 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 TeamGantt 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 TeamGantt
TeamGantt is a project management tool that allows teams to plan, schedule, and manage their projects using Gantt charts. It provides a visual timeline for project tasks, making it easier to track progress and collaborate effectively.
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About 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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