Aurora PostgreSQL now supports querying of Apache Iceberg and Parquet data
5 hours ago
- Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data stored in data lakes.
- Users can create foreign tables referencing data in Amazon S3, S3 Tables, or AWS Glue Data Catalog, eliminating ETL pipelines.
- Queries leverage DuckDB’s high-performance engine embedded in PostgreSQL to efficiently query Iceberg and Parquet formats.
- Existing PostgreSQL applications and BI tools can query data lake data through the standard PostgreSQL interface without changes.
- Supports federated queries through IRC-compatible catalogs and allows materialization into native tables for latency-sensitive workloads.
- Available on Aurora PostgreSQL versions 17.11 and 18.6+ across all AWS regions at no extra charge.