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I think your benchmark may miss the mark a bit if this is your angle.

20m records and 9k/sec isn’t very impressive. I would imagine most prospective customers have larger workloads, as you could throw this behind Postgres and call it a day. FWIW I was interested but your metrics made me second guess and wonder what was wrong.

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Fair point. Thanks for calling it out! To clarify, we’re focused on a specific use case: Kafka to ClickHouse pipelines with exactly-once guarantees. Kafka can’t provide exactly-once out of the box when writing to external systems like ClickHouse. You could use something like Flink, but there’s no native Flink-to-ClickHouse connector and Flink requires certain ops effort from the teams. Our goal was to show users a very easy-to-reproduce load test to validate the results. As a next step, we’re actively working on a Kubernetes-ready version that will scale horizontally and plan to share those higher-throughput results with the HN community soon.

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