Apache Kafka
Kafka is a distributed streaming platform that is used to build real-time data pipelines and streaming applications. Kafka combines three key capabilities for event streaming end-to-end with a single battle-tested solution:
To publish (write) and subscribe to (read) streams of events, including continuous import/export of your data from other systems.
To store streams of events durably and reliably for as long as you want.
To process streams of events as they occur or retrospectively.
Some of the key features of Kafka are:
Distributed: Kafka is designed to be distributed, meaning that it can run on multiple machines and handle large amounts of data.
Scalable: Kafka is highly scalable and can handle a large number of messages per second.
Fault-tolerant: Kafka is designed to be fault-tolerant, meaning that it can recover from failures and continue to operate without data loss.
High-performance: Kafka is designed to be high-performance, meaning that it can handle a large number of messages with low latency.
Real-time processing: Kafka is designed for real-time processing of data streams, allowing for the processing of data as it is being generated.
Easy integration: Kafka integrates easily with other data processing frameworks and tools, such as Hadoop, Spark, and Storm.
Durability: Kafka provides durability by persisting data to disk and allowing data to be replicated across multiple nodes.
Security: Kafka provides security features such as authentication, authorization, and encryption to protect data and prevent unauthorized access.
Kafka is a powerful tool for building real-time data pipelines and streaming applications that require high scalability, fault tolerance, and low latency.
Some of the key features of Kafka are:
Kafka is a powerful tool for building real-time data pipelines and streaming applications that require high scalability, fault tolerance, and low latency.
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