Connect klaxoon and KNIME to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for klaxoon
Choose an Action
Automatically do this!
- Request a new Action for KNIME
Enable Integrations or automations with these events of klaxoon and KNIME
Enable Integrations or automations with these events of klaxoon and KNIME
Actions
List All Boards
Get all existing boards.
Create Board
Creates a Board.
Create Idea in Board
Creates a new Idea in a Board.
Find Board
Find an existing Board.
Find Category in Board
Find an existing category in a Board.
Find Color in Board
Find an existing color in a Board.
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Frequently Asked Questions
To start, connect both your klaxoon and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in klaxoon triggers actions in KNIME (or vice versa).
Absolutely. You can customize how klaxoon data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between klaxoon and KNIME 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 klaxoon and KNIME. 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 klaxoon
Whether on-site, remotely or hybrid, Klaxoon technologies help you think, collaborate and move forward in a simple and super-productive way.
Learn MoreAbout KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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