Connect Rocketlane and KNIME to Build Intelligent Automations
Enable Integrations or automations with these events of Rocketlane and KNIME
Enable Integrations or automations with these events of Rocketlane and KNIME
Triggers
New Project Created
Triggers when a new project is created.
Project Updated
Triggers when a project is updated.
Task Updated
Triggers when a task is updated.
Actions
Create Project
Creates a project.
Archive Project
Archives a project.
Create Task
Creates a task.
Delete Project
Deletes a project.
Import Template to Project
Imports one templates to a project.
Update Project
Updates a project.
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Frequently Asked Questions
To start, connect both your Rocketlane and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Rocketlane triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Rocketlane 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 Rocketlane 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 Rocketlane 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 Rocketlane
Rocketlane is a collaborative customer onboarding platform that helps you shorten time to value and deliver a delightful onboarding experience.
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About 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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