
When this happens...
New Customer
New Dispatch
New Invoice
New Order
New Payment
New Product
Updated Customer
Updated Inventory Level
Updated Order
Delete Customer
Deleted Invoice
Updated Product
Deleted Product
Deleted Order

Automatically do this!
Enable Integrations or automations with these events of Orderspace and Google Cloud Bigtable
Triggers when a new customer is created.
Triggers when a new dispatch is created.
Triggers when a new invoice is created.
Triggers when a new order is created.
Triggers when a new payment is created.
Triggers when a new product is created.
Creating a new customer
Create a new price list.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Orderspace and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Orderspace triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Orderspace data is recorded in Google Cloud Bigtable. This includes choosing which data fields go into which fields of Google Cloud Bigtable, setting up custom formats, and filtering out unwanted information.
The data sync between Orderspace and Google Cloud Bigtable 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 Orderspace and Google Cloud Bigtable. 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.
Google Cloud Bigtable is a fully managed, scalable NoSQL database service designed for large analytical and operational workloads. It is ideal for applications that require high throughput and low latency, such as IoT, user analytics, and financial data analysis.
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