DuckLake 1.0 vs Iceberg: Catalog-as-Metadata Architecture Compared
DuckLake stores lakehouse metadata in a SQL database instead of manifest files. How it compares to Apache Iceberg catalogs, and when each one wins.
Milvus 3.0 vs 2.6: Lake-Native Vector Search Upgrade Guide 2026
Milvus 3.0 GA (Jul 29, 2026) vs 2.6: External Collections, Storage V3, SINDI sparse index, StructArray, online schema, and the rollback trap to avoid.
ClickHouse 26.8 LTS vs 26.3: Pipelined SQL, Iceberg Writes and Upgrade Risk
ClickHouse 26.8 LTS adds the pipe operator, Iceberg writes to S3 Tables, Puffin deletion vectors and atomic POPULATE. What to test before you upgrade.
Apache Iceberg v4 vs v3 in 2026: Root Manifests, Single-File Commits, and What to Decide Now
Iceberg v4 is unreleased but partly ratified. What changed in 2026, how v4 differs from v3, and which tables to upgrade - with the dev-list evidence.
Apache Iceberg v3 Explained: 7 Spec Features That Change Your Lakehouse Upgrade Plan (2026)
Iceberg v3 adds deletion vectors, row lineage, VARIANT and geospatial types. What each feature changes, engine support, and how to sequence the upgrade.
Apache Iceberg vs Paimon: Lakehouse Table Formats 2026
Apache Iceberg vs Apache Paimon in 2026: streaming upserts, compaction, metadata design, catalog support, and a decision matrix for your lakehouse table format.
Iceberg vs Delta vs Hudi for IIoT Lakehouse: An ADR
An architecture decision record comparing Apache Iceberg, Delta Lake, and Hudi for an IIoT lakehouse in 2026 — schema evolution, upserts, and time-series fit.
Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine
Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine - updated October 2026 with verified facts, diagrams and FAQ.