Automation is transforming the way businesses operate, freeing up valuable time and resources. But when it comes to automating your processes, two common approaches emerge: scheduled workflows and event-driven workflows. While both offer significant benefits, they serve different purposes and understanding their distinctions is crucial for choosing the right approach for your needs.
This post explores the key differences between scheduled and event-driven workflows, helping you determine which model is best suited for various automation scenarios.
Scheduled workflows are initiated at predefined intervals. Think of them like recurring calendar appointments – they run at 9 AM every Monday, or on the first day of each month, or perhaps every hour on the hour.
Characteristics of Scheduled Workflows:
Ideal Use Cases for Scheduled Workflows:
While reliable for routine tasks, scheduled workflows can struggle with responsiveness. They lack the agility to react instantly to changes or new information. This is where event-driven workflows shine.
Event-driven workflows are triggered by specific events occurring within a system or application. Instead of running on a clock, they run in response to something happening. This "something" could be anything from a new order being placed, a file being uploaded, a status changing, or a message being received.
This is where platforms like Triggers.do become invaluable. Triggers.do is a comprehensive platform specifically designed for event-based automation. It allows you to define and manage the events that initiate your workflows, ensuring processes are started automatically when changes occur.
Characteristics of Event-Driven Workflows (powered by platforms like Triggers.do):
Example of an Event-Driven Workflow using Triggers.do:
Imagine a new order is created in your e-commerce platform. With a scheduled workflow, you might process new orders every hour. With an event-driven workflow powered by Triggers.do, the creation of the new order acts as the trigger.
import { Trigger } from 'triggers.do';
const newOrderTrigger = new Trigger({
name: 'New Order Created',
description: 'Triggers when a new order is created in the system',
event: 'order.created',
source: 'ecommerce-platform',
filter: {
condition: 'amount > 100',
priority: 'high'
},
handler: async (event) => {
// Process the event and start workflows
return {
workflowId: 'order-processing',
data: event.data
};
}
});
In this example, the newOrderTrigger is configured to listen for an order.created event from the ecommerce-platform. It even includes a filter to ensure the workflow only runs for orders with an amount > 100 and a priority of high. This ensures immediate action is taken for high-value orders, initiating the 'order-processing' workflow with the relevant data. This kind of responsiveness is crucial for agentic workflows and processes that require real-time action.
Ideal Use Cases for Event-Driven Workflows:
The decision between scheduled and event-driven workflows isn't always either/or. Many robust automation strategies utilize a combination of both.
Consider asking yourself these questions:
Triggers.do provides the foundation for building powerful event-driven workflow automation. By allowing you to define and manage triggers based on events from any system, it enables you to create responsive business processes that adapt to changes in real-time. With features like event filtering and easy integration with various systems through APIs, webhooks, and connectors, Triggers.do makes implementing sophisticated event-based workflows accessible, even for creating AI-powered or agentic workflows without unnecessary complexity.
Understanding the core differences between scheduled and event-driven workflows is the first step towards building a truly effective automation strategy. By leveraging the power of event-driven automation with platforms like Triggers.do, you can create dynamic, responsive, and efficient processes that react to the pulse of your business in real-time. Automate workflow initiation with Triggers.do and start workflows when events happen, building more agile and intelligent operations.