This benchmark can be used to collect the snippets for installation and data loading across a wide variety of DBMS. The usability and quality of the documentation can be compared. It has been used to improve the quality of the participants as demonstrated in [duckdb#3969](https://github.com/duckdb/duckdb/issues/3969), [timescaledb#4473](https://github.com/timescale/timescaledb/issues/4473), [mariadb-corporation#16](https://github.com/mariadb-corporation/mariadb-community-columnstore-docker/issues/16), [duckdb#3969](https://github.com/duckdb/duckdb/issues/3969), [questdb#2272](https://github.com/questdb/questdb/issues/2272), [crate#12654](https://github.com/crate/crate/issues/12654), [LocustDB#152](https://github.com/cswinter/LocustDB/issues/152), [databend#9738](https://github.com/datafuselabs/databend/pull/9738), [databend#9612](https://github.com/datafuselabs/databend/pull/9612), [databend#10226](https://github.com/datafuselabs/databend/pull/10226 ), [databend#10195](https://github.com/datafuselabs/databend/pull/10195), [databend#9978](https://github.com/datafuselabs/databend/pull/9978), [databend#9965](https://github.com/datafuselabs/databend/pull/9965), [databend#9809](https://github.com/datafuselabs/databend/pull/9809), [databend#9716](https://github.com/datafuselabs/databend/pull/9716), [databend#9600](https://github.com/datafuselabs/databend/pull/9600), [databend#9565](https://github.com/datafuselabs/databend/pull/9565) etc.
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