llm/302a36fb-79e1-4f4b-b047-e145d20e4497/topic-10-59830ec5-e69c-4a43-a1e2-0f746a4ed4ff-input.json
The following is content for you to summarize. Do not respond to the comments—summarize them. <topic> JSON in Databases # Appreciation for JSON field support in modern databases, arrow functions in SQLite, and DuckDB's superior JSON handling with columnar extraction </topic> <comments_about_topic> 1. From my perspective on databases, two trends continued in 2025: 1: Moving everything to SQLite 2: Using mostly JSON fields Both started already a few years back and accelerated in 2025. SQLite is just so nice and easy to deal with, with its no-daemon, one-file-per-db and one-type-per value approach. And the JSON arrow functions make it a pleasure to work with flexible JSON data. 2. FWIW (and this is IMHO of course) DuckDB makes working with random JSON much nicer than SQLite, not least because I can extract JSON fields to dense columnar representations and do it in a deterministic, repeatable way. The only thing I want out of DuckDB core at this point is support for overriding the columnar storage representation for certain structs. Right now, DuckDB decomposes structs into fields and stores each field in a column. I'd like to be able to say "no, please, pre-materialize this tuple subset and store this struct in an internal BLOB or something". </comments_about_topic> Write a concise, engaging paragraph (3-5 sentences) summarizing the key points and perspectives in these comments about the topic. Focus on the most interesting viewpoints. Do not use bullet points—write flowing prose.
JSON in Databases # Appreciation for JSON field support in modern databases, arrow functions in SQLite, and DuckDB's superior JSON handling with columnar extraction
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