The video discusses the main benefits of Kafka, highlighting its reliability, scalability, durability, and performance. Kafka is a distributed, partitioned, and replicated system that ensures high availability and fault tolerance. It scales easily without downtime due to its distributed architecture. Kafka's durability is achieved through a distributed commit log that persists events on disk quickly. Additionally, Kafka offers high throughput for publishing and subscribing messages, capable of handling trillions of events daily. Overall, Kafka's architecture supports better throughput with built-in partitioning and replication.

What architectural features contribute to Kafka's reliability?

• Centralized processing

• Distributed, partitioned, replicated, and fault-tolerant architecture

• Manual data replication

• Single server setup

How does Kafka achieve scalability?

• By leveraging its distributed architecture

• By using a single server

• By reducing data size

• Through manual scaling

What mechanism does Kafka use to ensure data durability?

• Temporary cache

• Manual backups

• Distributed commit log

• In-memory storage

What is a key performance feature of Kafka?

• High latency

• Low throughput

• High throughput for both publishing and subscribing messages

• Limited event handling

How many events can Kafka handle daily?

• Billions

• Millions

• Thousands

• Trillions