CostBench benchmark compares Snowflake vs. ClickHouse Cloud on end-to-end real-time analytics cost and performance

Tom Schreiber, Mark Needham, Lionel Palacin

2d ago· 34 min readenInsight

Summary

This article introduces CostBench, a benchmark designed to measure real-time analytics systems end-to-end — covering continuous data ingest, data maintenance, query latency, and total cost. It compares Snowflake and ClickHouse Cloud across these dimensions, arguing that traditional read-only benchmarks fail to capture the full operational cost of keeping data fresh and query-ready. The analysis reveals significant differences in how each system handles the complete data pipeline, with implications for cost and performance in real-time analytics workloads.

Source

Twitter / XCostBench benchmark compares Snowflake vs. ClickHouse Cloud on end-to-end real-time analytics cost and performanceclickhouse.com

Key quotes

· 3 pulled

A benchmark for real-time analytics needs to measure the system end-to-end: fresh data in, query-ready data maintained, fast answers out, and the cost of keeping that full path running.

CostBench measures the cost and latency of continuous ingest, data maintenance, and query execution together, because different systems spend work in different places.

A read-only benchmark on a static dataset can show how fast queries return once the data is already prepared. It does not show the cost of making that data query-ready, or whether queries stay fast while fresh data is being continuously ingested.

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Real-time analytics is more than fast queries. CostBench compares Snowflake and ClickHouse Cloud across the full path: continuous ingest, query-ready data maintenance, freshness, query latency, and cost.

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