Amazon S3 Tables now support all data types in the Apache Iceberg V3 specification. You can create V3 tables or upgrade existing V2 tables to take advantage of V3 features like deletion vectors, row lineage, and new data types such as variant, nanosecond timestamps, unknown, geometry, and geography.

Apache Iceberg has become the open standard for managing large analytics datasets. It lets you manage petabyte-scale tables with features like schema evolution, hidden partitioning, and time travel queries, while keeping your data in open Parquet files in data lakes on object storage like Amazon S3. Amazon S3 Tables offer storage purpose-built to keep Iceberg tables performant and cost-effective as they grow, with fully managed features like automatic compaction, maintenance, replication, and Intelligent-Tiering.

Teams running analytics on Apache Iceberg V2 tables often hit the same limits as their data grows. A compliance request to delete 50,000 user records from a 2-billion-row table leaves behind positional delete files that slow queries until compaction runs. Semi-structured events land as JSON strings that every query has to parse. Geospatial coordinates and nanosecond-precision timestamps get encoded as strings or integers. Each workaround adds storage cost, query latency, and pipeline code. With V3, Iceberg solves these challenges by offering native support for semi-structured and geospatial data, faster row-level operations, and built-in row lineage for data governance.

Starting today, Amazon S3 Tables support all V3 data types, including variant, nanosecond timestamps, geometry, geography, and unknown, along with deletion vectors and row lineage. You can create new V3 tables or upgrade existing V2 tables in place, and S3 Tables continue to run compaction and maintenance for you.

Apache Iceberg V3
V3 is the latest version of the Iceberg specification. Among its many improvements, V3 introduces capabilities that address the most common pain points in V2. This includes:

Deletion vectors replace V2’s positional delete files with a compact binary format. That 50,000-row compliance delete now writes a

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Source: AWS Blog (Published: Wed, 30 Sep 2026 22:10:00 +0000). Read the full article on the original site.