Apache Kafka
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kafka is a distributed streaming platform that is used for building real-time data pipelines and streaming applications. Kafka enables high-throughput, fault-tolerant data streams and is widely used in event-driven architectures and data integration tasks.
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Apache Kafka, introduced on April 1, 2011, is a distributed streaming platform that has transformed the way companies approach real-time data processing and analytics. Conceived at LinkedIn and later contributed to the Apache Software Foundation, it enables the construction of high-volume, fault-tolerant streaming data pipelines and applications. By facilitating publishers to send data streams to categorized topics, which subscribers can then consume, Kafka supports high throughput, scalability, and durability. Its extensive use in large-scale enterprises underscores its role as a foundational technology in managing complex data streams, ensuring Kafka's position as a pivotal tool in modern data architecture.
- Snippet from Wikipedia: Apache Kafka
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka can connect to external systems (for data import/export) via Kafka Connect, and provides the Kafka Streams libraries for stream processing applications. Kafka uses a binary TCP-based protocol that is optimized for efficiency and relies on a "message set" abstraction that naturally groups messages together to reduce the overhead of the network roundtrip. This "leads to larger network packets, larger sequential disk operations, contiguous memory blocks [...] which allows Kafka to turn a bursty stream of random message writes into linear writes."