Connect Float and MongoDB to Build Intelligent Automations
Enable Integrations or automations with these events of Float and MongoDB
Enable Integrations or automations with these events of Float and MongoDB
Triggers
New Milestone
Triggers when a new milestone is created.
New Person
Triggers when a new milestone is person.
New Phase
Triggers when a new phase is created.
New Project
Triggers when a new project is created.
New Project Task
Triggers when a new project task is created.
Updated Project Task
Triggers when a project task is modified.
Actions
Create Client
creates a new client.
List All Clients
Retrieves the list of all clients
List All Department
Retrieves the list of all department.
List All Milestones
Retrieves the list of all milestone.
List All Person
List of all person
List all Phases
Get all Phases.
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Frequently Asked Questions
To start, connect both your Float and MongoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Float triggers actions in MongoDB (or vice versa).
Absolutely. You can customize how Float data is recorded in MongoDB. This includes choosing which data fields go into which fields of MongoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Float and MongoDB 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 Float and MongoDB. 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 Float
Float is the fast and friendly resource scheduling app. Keep track of who's working on what and when.
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About MongoDB
MongoDB is a leading NoSQL database platform that provides a flexible and scalable solution for managing large volumes of data. It is designed to handle unstructured data and offers high performance, high availability, and easy scalability.
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