A practical comparison of AWS Kinesis and Apache Kafka for stream processing. Learn when each platform makes sense based on scale, operational requirements, and cost.

BigData Boutique blog

AWS Kinesis and Apache Kafka serve similar streaming needs but differ fundamentally in operational models and cost structures. Kinesis offers managed shards with 1 MB/s write limits per shard, zero infrastructure management, and native AWS integrations (S3, Lambda, Redshift). Kafka provides higher throughput potential (30,000+ messages/sec per partition), fine-grained control, and broader ecosystem support, but requires operational expertise for cluster management. At moderate scale (<100 MB/s), Kinesis typically wins on total cost and simplicity. At large scale (500+ MB/s), self-managed Kafka delivers better price-performance for teams with platform engineering capabilities. The choice depends on throughput requirements, team expertise, and AWS ecosystem integration needs.

AWS Kinesis vs Kafka: Choosing the Right Streaming Platform

Performance and Throughput Characteristics