Kafka gives you full control, portability, and the richest ecosystem. Kinesis gives you zero ops on AWS. Choose Kafka for multi-cloud or complex streaming; choose Kinesis for simple AWS-native streaming.
Apache Kafka and Amazon Kinesis both solve the same core problem — real-time data streaming — but take opposite approaches. Kafka is an open-source platform you can run anywhere, with a massive ecosystem of tools. Kinesis is a fully managed AWS service that requires zero infrastructure management but locks you into AWS.
| Feature | Apache Kafka | Amazon Kinesis | Winner |
|---|---|---|---|
| Deployment | Self-managed or managed (Confluent, MSK) | Fully managed AWS service | Tie |
| Operation | You manage clusters (or pay for managed) | Zero ops — AWS handles everything | Tie |
| Data Retention | Unlimited (configurable) | 1-365 days (default 24h) | Tie |
| Throughput | Virtually unlimited (add brokers/partitions) | Shard-based (1MB/s write, 2MB/s read per shard) | Tie |
| Ecosystem | Connect, Streams, ksqlDB, Schema Registry | Kinesis Analytics, Firehose, Data Streams | Tie |
| Pricing | Infrastructure costs (compute + storage) | Pay per shard-hour + per PUT payload | Tie |
| Portability | Run anywhere (cloud, on-prem, edge) | AWS only | Tie |
| Latency | Sub-millisecond | ~200ms (shard-based) | Tie |
| Consumer Model | Consumer groups with partition assignment | Enhanced fan-out or shared throughput | Tie |