Kafka vs RabbitMQ vs SQS in HLD - Practice Questions

Challenge - 5 Problems

🧠 Conceptual

intermediate

Primary Use Case Differences Between Kafka, RabbitMQ, and SQS

Which messaging system is best suited for real-time stream processing with high throughput and ordered message delivery?

A RabbitMQ

B All three are equally suited

C SQS

D Kafka

💡 Hint

Think about which system is designed for handling large streams of data with ordering guarantees.

Kafka is designed for high-throughput, real-time stream processing and guarantees ordered message delivery within partitions. RabbitMQ is more suited for complex routing and SQS is a managed queue service without strict ordering.

❓ Architecture

intermediate

Message Delivery Guarantees Comparison

Which system provides exactly-once message processing semantics out of the box?

A Kafka

B None of the above

C SQS

D RabbitMQ

💡 Hint

Consider the default guarantees each system provides and whether exactly-once is fully supported without additional configuration.

None of these systems provide exactly-once semantics out of the box. Kafka can achieve it with complex configurations, RabbitMQ and SQS provide at-least-once or at-most-once guarantees.

❓ scaling

advanced

Scaling Message Throughput in Kafka vs RabbitMQ vs SQS

Which system scales best horizontally by partitioning or sharding messages across multiple nodes?

A Kafka with partitions

B RabbitMQ with clustering

C SQS with multiple queues

D All scale equally well

💡 Hint

Think about native partitioning support and how each system distributes load.

Kafka uses partitions to distribute messages across brokers, enabling high horizontal scalability. RabbitMQ clustering is more complex and less scalable, and SQS scales by creating multiple queues but lacks native partitioning.

❓ tradeoff

advanced

Tradeoffs in Message Ordering Guarantees

Which system guarantees strict message ordering only within a partition or queue, but not globally across all messages?

A SQS FIFO queues

B RabbitMQ

C Kafka

D None guarantee ordering

💡 Hint

Consider how each system handles ordering and if it applies globally or per partition/queue.

Kafka guarantees ordering only within each partition, not across all partitions. RabbitMQ and SQS FIFO queues guarantee ordering per queue but do not partition messages like Kafka.

❓ estimation

expert

Estimating Latency Impact in Distributed Messaging Systems

You need to design a system with sub-10ms end-to-end message latency. Which system is least likely to meet this requirement under heavy load?

A AWS SQS standard queue

B Kafka deployed on dedicated low-latency hardware

C RabbitMQ with local network cluster

D Kafka with multiple partitions on SSD storage

💡 Hint

Consider network overhead and managed service latency characteristics.

SQS is a managed cloud service with higher latency due to network and internal processing, making sub-10ms latency difficult under heavy load. Kafka and RabbitMQ deployed locally can achieve lower latencies.