Real-time Data Streaming

Açıklaması şöyle. Yani Kafka Hard Real-time işler için uygun değil

Critical real-time: Limited set of use cases that require data processing in microseconds. Famous use case: Trading markets in financial services. This is NOT Kafka.

Low-latency real-time: Fast data processing is required in tens or hundreds of milliseconds to enable specific use cases. Examples: Sensor analytics in manufacturing, end-to-end data correlation in ride-hailing between mobile apps and backends, and fraud detection in instant payments. This is Kafka.

Near real-time: Fast data processing improves the business process but is not mandatory. For instance, data ingestion (streaming ETL) into a data warehouse is better in seconds than a batch process that runs every night. This is Kafka.