Connect Cradl AI and Amazon DynamoDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Document
New Dataset
Choose an Action
Automatically do this!
- Request a new Action for Amazon DynamoDB
Enable Integrations or automations with these events of Cradl AI and Amazon DynamoDB
Enable Integrations or automations with these events of Cradl AI and Amazon DynamoDB
Triggers
New Document
Triggers when a new document is created.
New Dataset
Triggers when a new dataset is created.
Actions
List Documents
Get all existing documents.
Create Dataset
Create a new dataset.
Create Document
Create a new document.
List users
Get all existing users.
List Agent
List all Agent in Cradl AI.
Create agent
Create a new agent.
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Frequently Asked Questions
To start, connect both your Cradl AI and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Cradl AI triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how Cradl AI 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 Cradl AI 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 Cradl AI 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 Cradl AI
Cradl AI is a no-code tool for automating document workflows using customized AI - fully automated or with human-in-the-loop validation.
Learn MoreAbout 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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