What It Is
Events such as sensor readings, user actions, and payments flow through a streaming platform and are filtered, enriched, and analyzed within milliseconds or seconds. Organizations act on events within moments instead of waiting for the next batch report.
Key Points
- Use cases: fraud detection, live inventory, dynamic pricing, and equipment monitoring.
- State: engineers maintain it across events.
- Late data: out-of-order events must be handled correctly.
- Technologies: Apache Kafka and Apache Flink.
Why It Matters
It lets organizations act on what is happening now, which matters wherever delay is costly. It also requires engineers to guarantee correct results after failures, which batch systems rarely face in the same way.
How ClearLeaff Applies It
We operate streaming platforms processing more than one million events per second with end-to-end latency below 50 milliseconds, paired with lakehouse storage for live and historical analysis.