Connect Adalo and H2O.ai to Build Intelligent Automations
Enable Integrations or automations with these events of Adalo and H2O.ai
Enable Integrations or automations with these events of Adalo and H2O.ai
Triggers
new record is created
runs when new record is created
record is updated
runs when record is updated
Actions
Create Record
Create a new Record in a chosen Adalo collection.
Update a Record
Update an existing item in your Adalo collection.
Delete a record
Remove a record from an Adalo collection.
Get items from a collection
Retrieve items from an Adalo collection.
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Frequently Asked Questions
To start, connect both your Adalo and H2O.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in Adalo triggers actions in H2O.ai (or vice versa).
Absolutely. You can customize how Adalo data is recorded in H2O.ai. This includes choosing which data fields go into which fields of H2O.ai, setting up custom formats, and filtering out unwanted information.
The data sync between Adalo and H2O.ai 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 Adalo and H2O.ai. 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 Adalo
Adalo is a powerful platform that enables users to create custom mobile and web applications without any coding knowledge. It offers a user-friendly interface and a variety of templates to help bring your app ideas to life quickly and efficiently.
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About H2O.ai
H2O.ai is a leading AI cloud platform that provides open-source machine learning and artificial intelligence solutions. It empowers businesses to harness the power of AI to drive innovation and make data-driven decisions. With a suite of tools and technologies, H2O.ai enables users to build, deploy, and scale AI models efficiently.
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