High throughput: Kafka can handle thousands of messages per second. Due to low latency, Kafka supports incoming messages at a high volume and velocity.
Low latency: Apache Kafka offers as low as ten milliseconds. This is because it decoupled messages on the broker, allowing the consumer to pull them at any time.
Fault-tolerant: The use of replicas allows Apache Kafka to be fault-tolerant in cases of a failure within a cluster.
Durability: With the replication feature, Apache Kafka allows data to remain more persistent on the cluster rather than the disk, thus making it more durable.
Scalability: the ability of Kafka to handle messages of high volume and high velocity makes it very scalable.
Ability to handle real-time data: Kafka can handle real-time data pipelines.