主要5大クラウドデータウェアハウスのコストパフォーマンス比較

A comprehensive benchmark analysis comparing five major cloud data warehouses—Snowflake, Databricks, ClickHouse Cloud, BigQuery, and Redshift—was conducted at varying scales of 1 billion, 10 billion, and 100 billion rows to evaluate their cost-performance metrics. The study revealed that ClickHouse Cloud consistently outperformed all other systems in terms of cost efficiency across all scales, maintaining a "fast & low-cost" status even as data volumes increased significantly, while other systems shifted towards "slow & high-cost" zones. The results were generated using Bench2Cost, an open-source benchmark pipeline that applies actual compute billing models to raw execution times for accurate cost comparisons, excluding storage costs due to their negligible impact. The study incorporated an interactive benchmark explorer to analyze various configurations, with the findings showing ClickHouse Cloud as the clear leader, offering exponentially superior cost performance compared to its competitors, which struggled with higher costs and slower execution times as data scaled up. The benchmark methodology employed standard workloads without engine-specific optimizations, ensuring fair and reproducible results, and highlighted ClickHouse Cloud's scalability without encountering hard limitations faced by other systems.