“DuckDB’s appeal lies in its ability to run analytical queries in-process without requiring users to provision or manage a separate cluster. So, my bet is that a serverless query layer that uses DuckDB to run fast, low-cost queries directly against data stored in S3 and Iceberg tables, without requiring customers to provision a data warehouse, is the first thing that’s likely to happen,” Chaturvedi added.
Further, the analyst pointed out that the acquisition could give AWS expertise in the increasingly competitive market for open table formats, which govern how enterprises organize and manage data in cloud object storage: “DuckLabs released DuckLake 1.0 in April 2026, and bringing the team behind it into AWS could give the cloud provider another option as it competes with the growing influence of Apache Iceberg.”
While open table formats such as Iceberg have become increasingly popular because they allow data stored in data lakes to be queried and managed by different analytics engines, reducing dependence on a single data warehouse or proprietary platform, DuckLake represents DuckDB’s attempt to simplify that architecture by keeping data in Parquet files while using a conventional database to manage table metadata, potentially making data lake deployments easier for enterprises to build and operate.
