When people compare Delta Lake and Apache Iceberg, the discussion often stays too abstract. Most articles describe features at a high level, but platform decisions are usually made in much more practical terms: Which format fits your workloads better? Which one is easier to operate? Which one creates fewer long-term constraints?
This article is a practitioner-style comparison of the dimensions that matter most in day-to-day platform work: write-heavy operations, multi-engine reads, schema evolution, compaction, and time travel.