Apache Kafka® vs Confluent Cloud: Latency Benchmarking Results

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This post details benchmarking results comparing Confluent Cloud's Kora engine performance against Apache Kafka. It highlights significant improvements in p99 end-to-end latency, with Confluent Cloud outperforming Apache Kafka by up to 16x under various throughput and partition scaling scenarios. The post also discusses the methodology for measuring latency, including steady-state and real-world conditions, and the benchmark setup, emphasizing the use of CKUs for consistent resource allocation in Confluent Cloud and equivalent hardware configurations for Apache Kafka. It also touches upon Kora's ability to maintain low latency even during cloud provider disruptions.