AWS acquires DuckLabs, but what does it want from the team behind DuckDB?

AWS could use DuckLabs’ expertise to embed DuckDB more deeply into its data stack, but analysts say the project’s center of gravity may increasingly shift toward the cloud provider. Open-source software has given cloud providers a way to adopt popular technologies without having to own the companies behind them. AWS, however, has decided that simply using DuckDB in its products and services is not enough. The cloud provider on Wednesday said that it had signed a definitive agreement to acquire DuckLabs, the Amsterdam-based company behind the development of the DuckDB ecosystem, while leaving the DuckDB open-source project under the independent DuckDB Foundation. That means the approximately 30-member team at DuckLabs will join AWS once the acquisition closes, while DuckDB and related products will remain available under the permissive MIT license, leaving developers and enterprises free to continue using the database as before. However, AWS hasn’t made clear what it hopes to gain by bringing the team and its expertise in-house, or how that knowledge could eventually influence the development of new or existing data and analytics services, potentially shaping the technologies and platforms that developers build on and CIOs deploy. AWS could put DuckDB at the heart of its data stack Analysts, though, pointed to the strategic value that AWS could add to its products by bringing the engineers who built DuckDB into its own ranks, even as the database itself remains outside the company’s control. “Anyone expecting a flashy standalone ‘Amazon DuckDB’ product is being overly optimistic because it already has Redshift and a ton of other database services. AWS and DuckLabs were already collaborating on S3 Tables and SageMaker Lakehouse, suggesting that DuckDB’s greater value to AWS could be as an embedded query engine inside its existing analytics services rather than as a separate product customers buy on their own,” said Ashish Chaturvedi, executive research leader at HFS Research. “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. Open source, but with a new center of gravity Despite these potential benefits, the deal could create new concerns for developers and enterprises, even as AWS’s resources accelerate the development of DuckDB’s ecosystem and improve support for its growing user base. “Developers shouldn’t mistake an unchanged license for an unchanged project. The people writing the bulk of DuckDB’s core code now cash AWS paychecks, and paychecks bend roadmaps, whatever the governance charter says,” Chaturvedi said. “Features that matter to AWS’s services will get built first, and features that matter mainly to a rival cloud’s use case will wait longer, not because anyone’s acting in bad faith but because that’s simply how gravity works when one employer holds the expertise,” Chaturvedi added. For CIOs, that distinction could matter more if they are using DuckDB as part of a multi-cloud architecture, the analyst further pointed out. “The MIT license protects you from hard lock-in, and the engine keeps working everywhere, so this isn’t a reason to rip DuckDB out. But treating AWS as anything other than DuckDB’s de facto owner now would be naive, and I’d factor that into any architecture I was betting real strategy on,” Chaturvedi said. “The engine is still a safe, open choice. Just drop the pretense that it’s a neutral one,” Chaturvedi added. For enterprises already running their data and analytics workloads on AWS, however, that same shift in priorities could be an advantage. “It means DuckDB gets deeper integration, better support, and tighter optimization inside the stack your data already lives in. And with both the Foundation and MotherDuck expanding support, you’ve got more places to turn for help than you did a week ago,” Chaturvedi said. AWS has not disclosed the financial terms of the acquisition or said when it expects the deal to close.