That's for their `JSON` data types. In DuckDB it's just a string meaning lots of queries will have to do JSON parsing on every row, but the inserts are very fast. Definitely a bit of a footgun and when you actually just need STRUCT or MAP.
There's a talk about ClickHouse's approach from its creator: https://www.youtube.com/watch?v=xHj9mysh0GI , but the gist is that it maintains (sub)columns to store different paths in the JSON
In other ways DuckDB has very good JSON support, like you can do `CREATE TABLE name AS `SELECT * FROM 'data.json';` and it'll infer the schema when possible.
Not just that, you can SELECT * FROM read_json('folder/*') and read an entire schematically consistent folder of json files, or parquet files, or basically anything it supports with its various functions. Duckdb is insanely useful.
There's a talk about ClickHouse's approach from its creator: https://www.youtube.com/watch?v=xHj9mysh0GI , but the gist is that it maintains (sub)columns to store different paths in the JSON
In other ways DuckDB has very good JSON support, like you can do `CREATE TABLE name AS `SELECT * FROM 'data.json';` and it'll infer the schema when possible.