Integration
Event Streaming
Event streaming is the continuous capture, transmission, and processing of event records in real time through a distributed log — Apache Kafka being the dominant platform. Each event (transaction completed, sensor reading, user action) is appended to a durable, ordered log that multiple consumers can read independently at their own pace.
Kafka-based event streaming decouples producers from consumers: the system that generates events does not need to know which AI agents or analytics systems will consume them. This makes event streaming the backbone of real-time AI pipelines in financial services, logistics, and IoT. Common AI use cases include real-time fraud scoring, dynamic pricing, supply chain alerting, and customer behavior analysis fed into personalization models.
Related terms
- Event-Driven Automation — Event-driven automation is an architecture in which business processes are triggered by real-time events — a form submitted, a payment received, a threshold crossed, a message received — rather than by scheduled batch jobs or manual initiation.
- Real-Time Analytics — Real-time analytics is the processing and analysis of data as it is generated — within milliseconds to seconds of an event occurring — to produce insights or trigger actions immediately.
- Webhook — A webhook is an HTTP callback that a service sends to a URL of your choosing when a specific event occurs — a payment completes, a form is submitted, a ticket is updated.