Which type of integration allows for real-time data processing?

Event-driven integration is designed to facilitate real-time data processing by responding to events as they occur. In this integration approach, systems communicate and react to changes or triggers instantly. For example, when an event happens in one system, it can immediately notify another system to take action, enabling immediate data processing and sharing.

This type of integration is particularly useful in scenarios where timely responses are critical, such as in financial transactions, order processing, or monitoring applications. It allows for high levels of collaboration and interaction among various components of an infrastructure, ensuring that data flows seamlessly and in real-time.

In contrast, other integration types like batch integration focus on processing large sets of data at scheduled intervals, which inherently lacks real-time capabilities. Scheduled integration also doesn't support instant data updates, as it relies on predefined times to execute tasks. Asynchronous integration allows processes to continue without waiting for a response but doesn't inherently guarantee real-time data processing or event-based triggers like event-driven integration does.