What is Apache Kafka
Apache Kafka is a distributed event streaming platform used to build real-time data pipelines and streaming applications. Originally developed by LinkedIn and later open-sourced by Apache, Kafka is designed to handle high-throughput, fault-tolerant, and scalable data streams efficiently. It allows organizations to process and analyze real-time data from multiple sources like applications, databases, and sensors.
Kafka works around the concept of producers, topics, and consumers. Producers send data to topics, which are categories for messages, while consumers subscribe to these topics to read and process the data. Kafka’s storage mechanism ensures that messages are durable and replicated across multiple servers, making it highly reliable.
One of the main advantages of Kafka is its ability to handle millions of events per second with low latency. It is widely used in industries for applications such as log aggregation, real-time analytics, monitoring, and stream processing. Tools like Apache Spark, Apache Flink, and Kafka Streams integrate with Kafka to build advanced data pipelines.
In summary, what is Apache Kafka is a powerful, scalable, and reliable solution for managing real-time data streams. Its distributed architecture and high performance make it a popular choice for modern data-driven applications.
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