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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Customer Invoice Created
Runs when new customer invoice is created
New Customer
Triggers when a new customer is created.
New Product
Triggers when a new product is created.
Do thisActions
Action is the task that follows automatically within your Pennylane integrations.
Create Customer
Creates a new individual customer.
Create a Product
Creates a new product in pennylane.
Update Customer
Update a customer.
Update Product
Update a product.
Create Estimate
Create a new estimate.
Create Company Customer
Creates a new company customer.
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Frequently Asked Questions
To start, connect both your Pennylane and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Pennylane triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how Pennylane data is recorded in Zilliz. This includes choosing which data fields go into which fields of Zilliz, setting up custom formats, and filtering out unwanted information.
The data sync between Pennylane and Zilliz 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 Pennylane and Zilliz. 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 Pennylane
Pennylane centralizes all your cash flows and connects with your financial tools to ease and automate collaboration with your accountant.
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About Zilliz
Zilliz is a leading provider of vector database solutions, designed to handle large-scale data processing and analytics. It offers advanced capabilities for managing and querying vector data, making it ideal for AI and machine learning applications. Zilliz's platform is optimized for high performance and scalability, enabling businesses to efficiently process and analyze complex datasets.
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