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Comment by daviewales

16 hours ago

The title is misleading. AWS acquired DuckLabs, NOT DuckDB. The DuckDB source code is still owned by the nonprofit DuckDB Foundation.

Quote from the article:

"As the CWI representative on the DuckDB Foundation... When DuckLabs spun out of CWI, we created this foundation, which holds all IP of open-source DuckDB, and will continue to do so." - Peter Boncz

You are right.

AWS did not acquire the DuckDB technology itself, which is MIT-licensed open source and governed by the DuckDB Foundation which holds most of the related IP [1].

What they did acquire is DuckLabs, the Amsterdam-based services and development company behind the technology which is owned by and employs the creators and major contributors.

And MotherDuck is a US-based venture-funded commercial company, whose cloud-based data platform is centered around DuckDB but has been significantly expanded recently, including Python pipelines, an agentic context layer, and a visualisation layer.

[1]: https://duckdb.foundation/

[2] https://ducklabs.com/

[3] https://motherduck.com/

  • Interesting to see how they will update their About page.

    Currently it says “Today, DuckLabs remains independent and fully owned by the original creators. We've deliberately chosen not to take venture capital, so we can focus on sustainable engineering, correctness, and keeping DuckDB open and MIT-licensed for everyone. “

    Future will tell if that ends up being true.

This is an important distinction, I hope the title can be changed.

I was really surprised when I first came across DuckDB at how good at it is for its target use cases. It is a game changer for me for the "local analytics" space, and its ability to scale up to a large degree helps a lot.

It is simply awesome to be able to point DuckDB at a mess of CSV and other files and have an instant database on top of it that I can run regular SQL over, and it is fast and just works.

  • It’s faster than trino and spark for 99% of your use cases. Only once the datasets reach the 100GiB to TiB range is trino/spark faster. Compute is scaling vertically faster than Data Eng/Analytics dataset growth, over time DuckDB will be the better choice.

you raised a good point but (et al) didn't touch on the meaningful questions: where does the "core team" of developers of DuckDB now reside? are they now "captured/cashing-in/getting paid" at AWS, or will meaningful MIT-licensed development of DuckDB continue in a robust way outside of commercial enterprises with proprietary needs that are not aligned with where the project was going?

It is not misleading at all. For all these softwares, the team that behind is the most important part rather than the software itself.