Connect wizishop and Amazon DynamoDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New SKU Event
New Customer Event
Choose an Action
Automatically do this!
- Request a new Action for Amazon DynamoDB
Enable Integrations or automations with these events of wizishop and Amazon DynamoDB
Enable Integrations or automations with these events of wizishop and Amazon DynamoDB
Triggers
New SKU Event
Triggered when a new product SKU is created,updated and deleted.
New Customer Event
Trigger's when a customer is created,updated and deleted.
Actions
Create Brand
Create a new brand .
Update SKU Stock
Adjust a product SKU's inventory by increasing, decreasing, or replacing its stock quantity.
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Frequently Asked Questions
To start, connect both your wizishop and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in wizishop triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how wizishop 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 wizishop 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 wizishop 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 wizishop
WiziShop is an all-in-one e-commerce platform with cloud-based solutions to gain visibility and sell products and services online by harnessing the power of SEO.
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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