Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Aurora Postgresql Β· 2026-09-30
Actions
Technical Details
| Affected Versions | 17.11, 18.6 |
|---|---|
| Regions | all commercial AWS Regions and AWS GovCloud (US) Regions |
| Cost Impact | Neutral |
| IaC Impact | High |
What This Means
For DevOps Teams
Update your Aurora PostgreSQL clusters to versions 17.11 or 18.6, create an IAM role with the AuroraAnalytics feature, enable the aurora_analytics extension, and configure foreign tables to start querying Iceberg and Parquet data directly, reducing the need for ETL pipelines and associated toil.
For Platform Teams
Adopt the new direct querying capability in Aurora PostgreSQL to enable seamless integration of operational data with data lake formats, reducing the need for data movement and duplication, and leveraging DuckDB's efficiency for improved query performance.
For Executives
Evaluate the new capability of Aurora PostgreSQL to directly query Apache Iceberg and Parquet data in your data lake, which can reduce operational complexity and simplify application development, leading to potential cost savings and improved efficiency.
Source
Related Aurora Postgresql Updates
- Amazon Aurora and RDS now support AMD-based R8a instances (2026-09-30)
- Amazon Aurora serverless now scales faster to support agentic AI and other bursty workloads (2026-09-30)
- Aurora PostgreSQL now supports querying of Apache Iceberg and Parquet data (2026-09-30)
- Amazon Aurora now supports PostgreSQLβ―18.6, 17.11, 16.15, 15.19, 14.24 (2026-09-29)
- Amazon Aurora MySQL now supports multi-source replication and delayed replication (2026-09-03)