This is not my original idea; I came across it in an excellent article titled “DuckDB Beyond the Hype” by Alireza Sadeghi. However, it immediately caught my attention because sharing data can often…

Dixit Ram

Browsers

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DuckDB offers a simplified approach to data sharing by encapsulating multiple tables into a single database file. This reduces compatibility issues and eliminates the need for packaging files into tar/zip archives. Tests showed that DuckDB handles numerical data more efficiently than PostgreSQL, while string data storage initially appeared less efficient but improved with larger datasets.

DuckDB Database File as a New Standard for Sharing Data?

Another biggest advantage is actually using it as a catalog rather than storing the data itself. You could have the data stored on S3 at different locations, all referenced as VIEW in a single, lightweight DuckDB file!

The most useful for me is In-Browser SQL Analytics with DuckDB-WASM implementation.

The article was easy to follow and does offer some interesting perspectives on DuckDB use case. Since Parquet was also mentioned, not providing some numbers for it with the same data set makes the article a bit incomplete.