Connect Sympla and Amazon DynamoDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Event
New Orders
Choose an Action
Automatically do this!
- Request a new Action for Amazon DynamoDB
Enable Integrations or automations with these events of Sympla and Amazon DynamoDB
Enable Integrations or automations with these events of Sympla and Amazon DynamoDB
Triggers
New Event
Fetch events that were created or updated since the last check.
New Orders
Fetch ticket orders for the selected Sympla event that were created since the last check.
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Frequently Asked Questions
To start, connect both your Sympla and Amazon DynamoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Sympla triggers actions in Amazon DynamoDB (or vice versa).
Absolutely. You can customize how Sympla 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 Sympla 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 Sympla 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 Sympla
Sympla is a comprehensive platform for event management and ticketing, offering tools to organize, promote, and manage events of all sizes. It provides features for ticket sales, attendee management, and event promotion, making it ideal for event organizers and marketers.
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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