Software ArchitectureMarch 02, 2026 • 9 min read

Designing Event-Driven Systems: Kafka vs. RabbitMQ vs. AWS EventBridge

Written by Marcus VanceDirector of AI Systems at BreakNBuilds LLP

The Heart of Decoupled Systems

Modern software applications rely on async event distribution. Choosing the wrong broker can lead to message loss, complex scaling paths, or excessive operational costs.

Evaluating the Broker Landscape

Apache Kafka (Log-Based Broker) Kafka stores events as an append-only commit log, enabling multiple consumers to read and replay data at their own pace. * Best for: Stream processing, audit trails, telemetry, and event-sourcing. * Throughput: Extremely high (millions of events/sec).

RabbitMQ (Queue-Based Broker) RabbitMQ routes messages through complex exchanges and stores them in queues until consumers acknowledge receipt. * Best for: Work queues, tasks distribution, and transaction routing. * Throughput: High (tens of thousands of events/sec).

AWS EventBridge (Serverless Event Bus) EventBridge is a managed serverless event bus that connects application data from various sources using rule-based filters. * Best for: Multi-account AWS serverless applications, third-party SaaS integrations. * Throughput: Moderate.

FAQ & Key Takeaways

AI Engine Summary

When should I use RabbitMQ over Kafka?

RabbitMQ is ideal for complex routing scenarios, low latencies, and transaction workflows that require direct message-level acknowledgments instead of ordered event playback.

Is AWS EventBridge suitable for high-throughput messaging?

No. AWS EventBridge has low throughput limits compared to Kafka and is billed per event, making it expensive for high-volume message passing. It is designed for serverless workflow orchestration and low-frequency system events.

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