Apache Kafka is a distributed streaming platform built around durable, partitioned logs called topics, enabling high-throughput, fault-tolerant event pipelines. Producers append records to partitions, brokers replicate them for durability, and consumer groups read them at their own pace while balancing work across instances. The commit/offset model and retention policies support patterns from real-time processing to event sourcing and audit trails. Exactly-once processing semantics, idempotent producers, and transactions help prevent duplicates across complex dataflows. Kafka Streams and Kafka Connect extend the core: Streams provides a library for stateful stream processing within applications, while Connect standardizes integration with external systems. With horizontal scalability, strong ordering guarantees within partitions, and mature tooling, Kafka serves as the backbone for event-driven architectures across analytics, microservices, and data integration.
Features
- Distributed event streaming platform for real-time data pipelines and streaming analytics
- High-throughput, low-latency message processing designed for mission-critical applications
- Written in Java and Scala; integrates with Kafka Connect and Kafka Streams for ecosystem flexibility
- Uses efficient binary TCP protocol optimized for network and disk performance
- Widely adopted by large enterprises as backbone for event-driven infrastructure
- Open source under Apache-2.0 license, with active development and extensive documentation