Apache Iceberg

lastmod 2026-04-17created 2025-06-044 edits

Apache Iceberg is an open-source table format designed for large analytic datasets stored in data lakes. It also addresses many of the limitations of existing data lake table formats, bringing improved reliability, performance, and flexibility to data lakehouse architectures. You can think of it as an intelligent layer sitting on top of data lake storage such as Cloud Storage. It provides database-like capabilities to massive datasets. Rather than simply managing files, Iceberg manages a table as a collection of data files, supporting features such as schema evolution, time travel, and more efficient query planning. This lets data analysts, data scientists, and engineers work with data in the data lake more easily and efficiently and scale up their analytic workloads.

See also

• Apache Parquet
• Data Lakehouse
• Korean: 데이터 레이크

Favorite site

• Apache Iceberg - Apache Iceberg™
• Apache Iceberg - Wikipedia
• What is Apache Iceberg? - Iceberg Tables Explained - AWS
• What is Apache Iceberg? Benefits and use cases | Google Cloud
• [Recommended] NELO Alaska: Adopting Apache Iceberg for storing large-volume log data ¹
• Adopting an Iceberg-based data lakehouse architecture, part 2 - Using Apache Iceberg

References