Lakehouse Table Formats in 2026: Iceberg, Delta Lake, Hudi, Paimon, and DuckLake, How They Work, Where They Stand, and Where They're Going

Short summary

A detailed July 2026 comparison of five lakehouse table formats — Iceberg, Delta Lake, Hudi, Paimon, and DuckLake — covering architecture, ecosystem, governance, and roadmaps. Iceberg won the interoperability standards war, but each format retains distinct design centers: Delta for Databricks-scale batch/streaming, Hudi for upsert-heavy ingestion, Paimon for streaming-native tables, and DuckLake questioning metadata complexity. The article provides mechanical breakdowns of how each format handles snapshots, transactions, row-level updates, and partition evolution.

• •Iceberg is the de facto interoperability standard; all major clouds and engines support it natively
• •Each surviving format owns a distinct design center — no consolidation expected
• •Covers architecture, ecosystem, governance, and roadmap for all five formats as of mid-2026

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