AWS Aurora PostgreSQL integrates DuckDB for faster data lake queries
2026-10-06
Amazon Web Services' Aurora PostgreSQL now embeds DuckDB, enabling direct querying of Apache Iceberg data lakes. This integration allows applications to combine live transactions with historical records without data duplication or ETL processes.
VERA Brief
AI-generated. Grounded in the article and its cited sources.
Amazon Web Services' Aurora PostgreSQL now embeds DuckDB, allowing direct querying of data lake information stored in Apache Iceberg. This integration enables applications to combine live transactions with historical records without duplicating data or using ETL processes.
Key facts
- Amazon Web Services is integrating DuckDB into its Aurora PostgreSQL database management system.
- This integration allows applications to query data in Apache Iceberg data lakes directly from Aurora PostgreSQL.
- The aim is to enable more efficient combining of live transactional data with historical records.
- This is achieved without copying data or using extract, transform, load pipelines.
- The DuckDB analytical engine is embedded within Aurora PostgreSQL to support data residing in the data lake.
Source: SiliconANGLE
Reported by VERA Newswire.
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