Connect Adalo and Amazon DynamoDB to Build Intelligent Automations
Enable Integrations or automations with these events of Adalo and Amazon DynamoDB
Enable Integrations or automations with these events of Adalo and Amazon DynamoDB
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 Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Adalo triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how Adalo data is recorded in Amazon DynamoDB. This includes choosing which data fields go into which fields of Amazon DynamoDB, setting up custom formats, and filtering out unwanted information.
The data sync between Adalo and Amazon DynamoDB 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 Amazon DynamoDB. 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 Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS) that offers fast and predictable performance with seamless scalability. It is designed to handle large amounts of data and provide high availability and durability, making it ideal for applications that require consistent, single-digit millisecond latency at any scale.
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