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Where I have used SQLite most successfully is really two use cases. First, I use it for data processing. Say I need to retrieve lots of data and transform it to
by IgorPartola 8mo ago
Where I have used SQLite most successfully is really two use cases. First, I use it for data processing. Say I need to retrieve lots of data and transform it to a different setup. I could do that in something like Python but SQL is just more expressive for that and I can also create a new database, populate it with data I have, fetch new data, combine it together, export the update to a permanent data store (usually Postgres).
Second, when I need a local save file. Sometimes small local apps are better served by a save file and they save file might as well have an extensible format that I can update as I go. This is more rare but still can be useful.
The first use case is very powerful. A temporary SQL database that can be blown away with zero trace of it is great. And the ability to run complex queries on it can really help.
But 99% of the time I just use Postgres. It works, it has sane defaults, it is crazy extensible, and it has never not met my needs, unlike Oracle or MySQL.
- stephenlf 8mo agoDuckDB via Python is my go-to for that first use case. It’s easier than ever to use Python and SQL together with Marimo notebooks. ``` uv run --with marimo marimo run --sandbox ``` and you’re ready to go.