Benefits of Using Apache Kafka
- Scalability: Kafka is designed to be distributed and can scale out without downtime.
- Performance: It ensures both publish and subscribe operations are high throughput, and the disk structures give uniform performance even when many terabytes of messages are in storage.
- Durability: Kafka uses an ordered, fault-t-tolerant, and distributed commit log; this means that messages are on disk as fast as they can be written without compromising performance.
- Kafka Integration: This system easily integrates with outer systems thanks to Kafka Connect (data import/export) and offers Kafka Streams—a stream processing library.
How to Use Apache Kafka for Real-Time Data Streaming?
In the present era, when data is king, many businesses are realizing that there is processing information in real-time, which is allowing Apache Kafka, the current clear leader with an excellent framework for real-time data streaming.
This article dives into the heart of Apache Kafka and its application in real-time data streaming, providing insight and practical guidance on how to use the technology.
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