Kafka can process messages in real-time, making it useful for applications that require near-instantaneous processing.
Apache Kafka offers high throughput and low latency for real-time data processing, with scalability and integration options like Java and Azure. As an open-source platform, it is cost-effective but demands DevOps expertise for large-scale deployment. Data partitioning enhances reliability, though ZooKeeper dependency and initial complexities exist. Technical documentation and API support require attention. While excelling in message processing, performance and message queue challenges raise concerns for potential data issues.