I like Spark a lot. When I was doing a lot of data work, DataBricks was a great tool for a team that wasn’t elbow deep into data engineering to be able to get a

I like Spark a lot. When I was doing a lot of data work, DataBricks was a great tool for a team that wasn’t elbow deep into data engineering to be able to get a lot of stuff done. DuckDB is fantastic, though. I’ve never really built big data streaming situations so I can really accomplish anything I’ve needed with DuckDB. I’m not sure about building full data pipelines with it. Any time I’ve tried, it feels a little “duck-tapey” but the ecosystem has matured tremendously in the past couple years. Polars never got a lot of love from me, though I love what they’re doing. I used to do a lot of work in pandas and python but I kind of moved onto greener pastures. I really just prefer any kind of ETL work in SQL. Compute was kind of always secondary to developer experience for me. It kills me to say this but my favorite tool for data exploration is still PowerBI. If I have a strange CSV it’s tough to beat dragging it into a BI tool and exploring it that way. I’d love something like DuckDB Harlequin but for BI / Data Visualization. I don’t really love all the SaaS BI platforms I’ve explored. I did really like Plotly. Totally open to hearing other folks’ experiences or suggestions. Nothing here is an indictment of any particular tool, just my own ADD and the pressure of needing to ship.