Connect ikas and Google Cloud Bigtable to Build Intelligent Automations
Choose a Trigger
When this happens...
New Order
New Product
New Customer
Order Updated
Choose an Action
Automatically do this!
- Request a new Action for Google Cloud Bigtable
Enable Integrations or automations with these events of ikas and Google Cloud Bigtable
Enable Integrations or automations with these events of ikas and Google Cloud Bigtable
Triggers
New Order
Trigger's when new order is created.
New Product
Trigger's when new product is created.
New Customer
Trigger's when new customer is created.
Order Updated
Triggered when an existing order is updated in Ikas; provides the updated order details.
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Frequently Asked Questions
To start, connect both your ikas and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in ikas triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how ikas 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 ikas 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 ikas 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.
About ikas
Ikas is a comprehensive eCommerce platform designed to streamline online store management, offering tools for inventory, order processing, and customer engagement.
Learn MoreAbout Google Cloud Bigtable
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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