Event streaming is a data-processing paradigm in which records of events are captured, stored as an ordered, append-only log, and continuously delivered to consumers in real time. Platforms such as Apache Kafka and Pulsar implement it to decouple producers from consumers and enable scalable, replayable data pipelines. It underpins real-time analytics, event-driven microservices, and the ingestion side of modern data architectures.
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- Events are persisted as an append-only log, decoupling producers from consumers and allowing replay. This model powers real-time analytics and event-driven microservices, with brokers like Kafka providing durable, partitioned delivery at scale.