IntegrationsJoin.meInfluxDB
Join.me + InfluxDB

Connect Join.me and InfluxDB to Build Intelligent Automations

Choose a Trigger

Join.me

When this happens...

Choose an Action

InfluxDB

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Enable Integrations or automations with these events of Join.me and InfluxDB

Enable Integrations or automations with these events of Join.me and InfluxDB

Actions

List Scheduled Meetings

List Scheduled Meetings

Get all existing Scheduled Meetings.

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Frequently Asked Questions

How do I start an integration between Join.me and InfluxDB?

To start, connect both your Join.me and InfluxDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Join.me triggers actions in InfluxDB (or vice versa).

Can we customize how data from Join.me is recorded in InfluxDB?

Absolutely. You can customize how Join.me data is recorded in InfluxDB. This includes choosing which data fields go into which fields of InfluxDB, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Join.me and InfluxDB?

The data sync between Join.me and InfluxDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Join.me to InfluxDB?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Join.me and InfluxDB?

Yes, you can set conditional logic to control the flow of data between Join.me and InfluxDB. 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.

Join.me

About Join.me

Join.me is a versatile online meeting and screen sharing tool that allows users to host and join meetings with ease. It offers features such as video conferencing, screen sharing, and collaboration tools to enhance productivity and communication.

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InfluxDB

About InfluxDB

InfluxDB is a time series database designed to handle high write and query loads, making it ideal for storing and analyzing time-stamped data such as metrics, events, and analytics.

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