DuckDB is maintained by Dr. Mark Raasveldt & Dr. Hannes Mühleisen along with many other contributors from all over the world. Mark and Hannes have set up the DuckDB Foundation that collects donations and funds development and maintenance of DuckDB. Mark and Hannes are also co-founders of DuckDB Labs, which provides commercial services around DuckDB. Several other DuckDB contributors are also affiliated with DuckDB Labs.
DuckDB’s initial development took place at the Database Architectures Group at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, The Netherlands.
Ducks are amazing animals. They can fly, walk and swim. They can also live off pretty much everything. They are quite resilient to environmental challenges. A duck’s song will bring people back from the dead and inspires database research. They are thus the perfect mascot for a versatile and resilient data management system. Also the logo designs itself.
The DuckDB Website is hosted by GitHub pages, its repository is here. Pull requests to fix issues or generally expand the documentation section are very welcome.
In a departure from traditional academic systems research practise, we have at first focused our attention on correctness, not raw performance. So it is entirely possible DuckDB is slower than some other, more mature system at this point. That being said, we are now confident DuckDB produces correct query results, and are actively working to make it fast, too. So publishing benchmark numbers from the current preview releases is certainly interesting, but should not be taken as the definitive results on what the DuckDB architecture can or cannot do.
DuckDB does not use explicit SIMD instructions because they greatly complicate portability and compilation. Instead, DuckDB uses implicit SIMD, where we go to great lengths to write our C++ code in such a way that the compiler can auto-generate SIMD instructions for the specific hardware. As an example why this is a good idea, porting DuckDB to the new Apple M1 architecture took 10 minutes.