Apache Hudi™ vs Delta Lake - Transparent TPC-DS Data Lakehouse Performance Benchmarks
Blog post from Onehouse
Recent discussions have centered on evaluating the performance of Apache Hudi, Delta Lake, and Apache Iceberg for data lakehouses, with concerns raised about the transparency and reproducibility of existing benchmarks, such as those presented by Databeans using TPC-DS. The critique highlights issues with undisclosed configurations, inaccessible benchmarking code, and inappropriate methods for Hudi, which skewed the results. The authors argue for benchmarks that are reproducible, open, and fair, providing their own rigorous approach that includes disabling Spark's dynamic allocation for consistency and sharing their modifications to Delta's framework. They emphasize the necessity for documented and accessible benchmarks to ensure reliable comparisons and express plans to continue publishing internal benchmarks that showcase Hudi's performance capabilities.
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