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table-format

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IcefallDB

Filesystem-native analytical tables you can actually read. Each table is plain Parquet plus JSON files you can open with everyday tools, with a fast SQL engine on top: row-level edits (delete, update, merge), near-instant repeat queries, full table history with time travel, and optional encryption. Built in Rust.

  • Updated Jul 3, 2026
  • Rust

What Apache Iceberg table changes actually cost, measured on 20M rows with Trino, MinIO and Docker Compose: which changes are metadata-only, what partition evolution does to query planning, what expire_snapshots really reclaims (zero), and why a table marked copy-on-write is written merge-on-read anyway. Claims mapped to offline tests.

  • Updated Aug 30, 2026
  • Python

Apache Iceberg — independent third-party profile of a public API surface, by API Evangelist. Apache Iceberg is an open table format for large analytic datasets that provides ACID transactions, schema evolution, hidden partitioning, and time travel. It works with Spark, Flink, Hive, Presto, Trino, DuckDB, ClickHouse, and many more compute engines. G

  • Updated Sep 4, 2026

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