Amazon Acquires DuckLabs to Integrate DuckDB into Aurora PostgreSQL
AWS acquires DuckLabs, integrating DuckDB into Aurora PostgreSQL for streamlined analytical query processing.
1Strategic Acquisition of DuckLabs
Amazon has officially acquired Amsterdam-based DuckLabs, the company behind the popular analytical database DuckDB. Co-founders Hannes Mühleisen and Mark Raasveldt will join AWS to continue leading the project's technical direction. The deal aims to leverage AWS resources to scale DuckDB technology while maintaining its open-source status under the MIT license.
2Commitment to Open Source
Despite the acquisition, DuckDB and its associated components like DuckLake and Quack will remain free and open-source. The non-profit DuckDB Foundation will continue its supervisory role over the projects. This structure aims to reassure the developer community that the innovation pace will not be hindered by the corporate transition.
3Optimizing Agentic AI Workloads
AWS technology vice president Mai-Lan Tomsen Bukovec highlighted that DuckDB is designed for high-performance queries on datasets under one terabyte. The database is particularly suited for agentic AI workloads, where agents must perform frequent, small exploratory queries to determine subsequent actions, making DuckDB a natural fit for modern AI-driven data processing.
4Evolution of AWS Collaboration
The relationship between AWS and DuckLabs matured over two years, beginning with collaboration on S3 Tables. Teams explored using AWS Lambda as a primitive for launching DuckDB queries and refined integrations through ATTACH and CONNECT commands. This history of technical cooperation paved the way for the full acquisition of the team.
5Aurora PostgreSQL Integration Details
Amazon Aurora PostgreSQL is the first service to feature DuckDB integration. This enables users to perform single queries that combine live operational data with historical records stored in Amazon S3, Apache Iceberg tables, or S3 Tables. This eliminates the need for complex reverse ETL pipelines that previously required significant engineering effort.
6Operational Efficiency Gains
By processing queries directly within Amazon Aurora, the new integration removes the need for additional network hops or data synchronization tasks. This architectural shift reduces infrastructure costs and minimizes the configuration overhead previously associated with maintaining separate analytical pipelines, allowing for more streamlined data access across diverse storage formats and locations.
7Availability and Cost Structure
The new DuckDB-powered feature is currently available across all commercial AWS regions and AWS GovCloud (US). There is no additional charge for the feature itself; customers only incur costs related to the incremental Aurora compute resources and the specific S3 requests generated by their analytical queries during the execution process.
8Future of Cloud Analytics
This acquisition signals a shift in how AWS approaches cloud-native analytics by embedding high-performance engines directly into transactional databases. By aligning DuckLabs' vision with Amazon's data strategy, the move aims to set a new standard for how analytics are delivered and consumed within cloud environments, prioritizing performance and developer accessibility.
Original article: InfoQ — Amazon Acquires DuckLabs to Integrate DuckDB into Aurora PostgreSQL