I feel like the article is written mainly for Database power-users (= people that look beyond the horizon of the default DB choice of Postgres/MySQL), as well as for people getting onto database engineering.
I would say for both of those audiences, Qdrant (or any of the dedicated vector databases) isn't too interesting. For the most part they are very normal (and usually less-featured) databases with a heavy focus on a special kind of index, which most DBs on the list can also handle either natively or via extensions.
hobofan|1 year ago
I feel like the article is written mainly for Database power-users (= people that look beyond the horizon of the default DB choice of Postgres/MySQL), as well as for people getting onto database engineering.
I would say for both of those audiences, Qdrant (or any of the dedicated vector databases) isn't too interesting. For the most part they are very normal (and usually less-featured) databases with a heavy focus on a special kind of index, which most DBs on the list can also handle either natively or via extensions.