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.
DuckDB v2.0 vs 1.5.x: Benchmarks for IIoT Telemetry
DuckDB v2.0 brings a new PEG parser and async I/O: 2-3x faster Parquet/CSV scans, 40x faster recursive CTEs vs 1.5.5. Benchmarked for IIoT telemetry.
Delta Lake 4.4 vs 4.3: The Spark 4.2 Upgrade Trap
Delta Lake 4.4 defaults to Spark 4.2 and breaks delta-iceberg compatibility. What changes with identity columns, VOID types, and Unity Catalog metric views.
Apache Spark 4.2 vs 4.1: CDC, Geospatial and Arrow-by-Default Risks
Spark 4.2 adds a SQL CHANGES clause, GEOMETRY/GEOGRAPHY types and Arrow Python UDFs by default. What changed from 4.1 and what breaks on upgrade.
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.
Streaming Trade Data into Iceberg: 2026 Architecture for Fintech
An Iceberg-first architecture for streaming trade data — Kafka Tableflow, compaction, time travel for surveillance, and cost trade-offs.