DuckDB

1. September 2, 202629 min read

   Postgres Meets the Lakehouse: pg_lake, pg_duckdb, and When Postgres Is Enough

   What pg_lake, pg_duckdb, and pg_mooncake do at the Iceberg level, and honest thresholds for when Postgres is enough.

2. August 25, 202630 min read

   Serverless Iceberg Ingestion with PyIceberg and DuckDB: Micro-Batches Without a Spark Cluster

   Land small Iceberg micro-batches with PyIceberg and DuckDB in a serverless function. Commits, concurrency, and why Spark is the wrong default.

3. August 24, 202630 min read

   Can Seven Different Iceberg REST Catalogs Really Run the Same DuckDB Code?

   Can seven Iceberg REST catalogs run the same DuckDB script? What the protocol makes portable, what still differs, and a test matrix you can rerun.

4. August 19, 202631 min read

   Building Lightweight Serverless Ingestion to Apache Iceberg with PyIceberg and DuckDB

   Build lightweight serverless ingestion to Apache Iceberg with PyIceberg and DuckDB, running small feeds in functions that bill for seconds.

5. July 25, 202630 min read

   The Whole Lakehouse Fits on Your Laptop Now

   Consumer hardware, columnar formats, single-node engines, and the Iceberg REST catalog crossed a threshold: a large share of cluster work now runs locally.

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