
When this happens...

Automatically do this!
Enable Integrations or automations with these events of Agiled and Google Cloud Bigtable
Use this action to add products in agiled.app
Use this action to add Projects in agiled.app
Create a contact with role lead
create a expense in agiled.app
Create A task in agiled.app
Use this action to add invoice in agiled.app
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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 Agiled and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Agiled triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Agiled 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 Agiled 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 Agiled 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.
Agiled.app is a comprehensive business and work management platform designed to help users manage their entire business operations in one place. It integrates several key functionalities, including Customer Relationship Management (CRM), Human Resource Management (HRM), financial management, project and task management, contracts, and professional proposals.
Learn MoreGoogle 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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