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Kafka delivers a unified, high-throughput, low-latency platform for handling real-time data feeds. It is designed to be durable, scalable, and fault-tolerant with an ability to support both batch and real-time use cases.

High Throughput

Efficiently processes high volumes of data, enabling applications to handle millions of messages per second.

Scalability

Easily scales out with no downtime, ensuring seamless performance as your data demands grow.

Fault Tolerance

Maintains data redundancy and resilience to node failure, ensuring data integrity and service continuity.

Durability

Utilizes distributed commit log, ensuring that data is safely stored and can survive server crashes.

Real-Time Processing

Supports real-time data processing, allowing immediate data stream handling and analytics.

Decoupling of Data Streams

Decouples producers and consumers through message topics, enhancing system reliability and simplification.

Batch Processing

In addition to real-time processing, supports batch data processing for flexible data management strategies.