🌊 Git-like Version Control for Data with Nessie, Iceberg, and Spark

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.

Catalog metadata migrator tool

preparations for a transfer to SQL. horizontal tables in different sheets in multiple.xlsx to a single long table

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. Governed by the Apache Software Foundation under the Apache 2.0 license.