Aurora PostgreSQL now supports querying of Apache Iceberg and Parquet data

Starting today, you can directly query operational data together with data stored in data lakes in Apache Iceberg and Parquet formats using your existing PostgreSQL applications and tools, without extract, transform, and load (ETL) pipelines or data duplication. Applications increasingly need access to data from data lakes, often stored in Apache Iceberg and Parquet formats, to make more informed decisions and automate business processes. Accessing it has typically required pipelines that copy data from your data lake into Aurora, driving up costs and engineering work as schemas evolve.