Amazon S3 Tables
An AWS-managed feature providing native Apache Iceberg tables as a built-in S3 capability, with automated compaction, snapshot management, and table maintenance handled by the service.
Summary
An AWS-managed feature providing native Apache Iceberg tables as a built-in S3 capability, with automated compaction, snapshot management, and table maintenance handled by the service.
S3 Tables removes the operational burden of managing Iceberg table lifecycle on S3. Instead of running your own compaction jobs and snapshot expiration, AWS manages it — reducing the Metadata Overhead at Scale pain point for teams using Iceberg.
- Not a query engine. S3 Tables manages Iceberg metadata and compaction; you still need Spark, Athena, or another engine to query the data.
- S3 Tables manages the Iceberg metadata lifecycle only. It does not replace your data ingestion pipeline or schema design decisions.
implementsIceberg Table Spec — native Iceberg table managementsolvesMetadata Overhead at Scale — automated compaction and snapshot managementscoped_toLakehouse — managed lakehouse tables on S3constrained_byVendor Lock-In — AWS-specific managed feature
Definition
AWS-managed Apache Iceberg tables as a native S3 feature, providing table-level storage optimization, automatic compaction, and snapshot management without external infrastructure.
Operating Iceberg tables on S3 requires managing compaction, snapshot expiry, and metadata cleanup. S3 Tables automates these operations as a built-in S3 feature, reducing operational overhead for lakehouse tables.
Managed lakehouse tables on S3, zero-ops Iceberg tables, automated compaction and snapshot management.
Connections 7
Outbound 7
scoped_to3implements1constrained_by1Resources 3
Official S3 Tables user guide covering managed Apache Iceberg tables with automatic compaction and snapshot management.
S3 Tables product feature page with pricing, integration details, and query engine compatibility.
Launch announcement describing how S3 Tables delivers up to 3x faster query performance and 10x higher transactions per second than self-managed Iceberg tables.