Add Daft to DuckDB Lab's H2O.ai Database-like Ops Benchmark

[earlev4]

I want to give a huge thanks to the Eventual team and all the contributors who made the Daft project possible! I am very excited about this project.

I think it would be a great idea to add Daft to DuckDB Lab's H2O.ai Database-like Ops Benchmark.
https://duckdblabs.github.io/db-benchmark/

This benchmark currently includes other dataframe libraries such as Pandas, Dask, Modin, Polars, and more. Integrating Daft would provide valuable insights and comparisons.
For reference, here is the URL for the repository where examples could be leveraged:
https://github.com/duckdblabs/db-benchmark

Lastly, here are some articles on DuckDB Lab's H2O.ai Database-like Ops Benchmark:
https://duckdb.org/2023/04/14/h2oai.html
https://duckdb.org/2023/11/03/db-benchmark-update.html

Looking forward to hearing your thoughts.

Thank you!

[jaychia]

Thanks @earlev4!

We'll take a look at it, but the team is currently mostly focused on building out our new local execution engine, which will then allow us to tackle this benchmark effectively. We can take a look at it at the end of the month once we have more on that front.

[earlev4]

Thanks so much, @jaychia! I appreciate your efforts and the wonderful project!!!

[earlev4]

Hi @jaychia! I just wanted to check-in and see if there were any further considerations for adding Daft to the DuckDB Labs' H2O.ai Database-like Ops Benchmark. Thanks!

[jaychia]

Cc @desmondcheongzx and @andrewgazelka for thoughts after the CSV reader lands