Article: When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies

No single storage layout is universally optimal for lakehouse analytics: The right choice is workload-dependent, because using Liquid Clustering, ZOrder, or Partitioning incorrectly can materially impact cost and latency. ZOrder has a hidden failure mode. When a date column appears as a secondary or tertiary clustering key, time range queries perform significantly worse than on a simple date-partitioned table. Bytes scanned is a misleading performance proxy. Liquid Clustering delivers the lowest latency on point lookups despite scanning more raw data than ZOrder. Liquid Clustering should be the default for any team whose query patterns are diverse or evolving and outperforms ZOrder on most workloads while eliminating the operational burden of manual OPTIMIZE jobs and periodic full table rewrites. Before finalizing any layout strategy, ask yourself: ”Do my top queries consistently filter on the same two or three columns? If the answer is yes, ZOrder those columns. Otherwise, choose Liquid Clustering. No single storage layout is universally optimal for lakehouse analytical systems.…