Connect Adalo and Databricks to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
new record is created
runs when new record is created
record is updated
runs when record is updated
Do thisActions
Action is the task that follows automatically within your Adalo integrations.
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.
Create Cluster
Creates a new Databricks cluster for processing tasks.
Create a Directory
Create a directory by a path.
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Frequently Asked Questions
To start, connect both your Adalo and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Adalo triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Adalo data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Adalo and Databricks 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 Databricks. 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.
Learn MoreAbout Databricks
Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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