DuckDB also runs in Excel, by the way, via the free xlwings Lite add-in that you can install from the add-in store. It’s using the Python package and allows to write scripts, custom functions, as well as use a Jupyter-like notebook workflow.
If you start with Excel, I'll counter with Postgres: https://github.com/duckdb/pg_duckdb.
I haven't found the time to check this on one of our installation, though.
I benchmarked DuckDB 1.5.2 with the latest Java JDBC driver which now supports user defined functions. This allows very fast modifications https://sqg.dev/blog/java-duckdb-benchmark/
Whoa, nice! I could see this being useful to people I work with. Do you think it would be a good setup for people who are technical but not great software developers? People who use basic R and Python for ETL and analysis, mostly.
I'm using DuckDB in another project (on my laptop) where `NetworkX` fails due to the memory limit of 32 GB. So yes, as soon as you are doing out of core work I'd assume the combination to be quite powerful. Knowledge in SQL would be a plus, though.
I use it almost daily. Any time I benchmark changes or analyze logs, I collect the data I need as CSV and analyze it with duckdb. The flexibility and ease makes it so I find so much more interesting information. It's indispensable to me now
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