With Doobie you manually write your queries, and then map the results into the objects in your domain model. Nothing is generated for you. OTOH, nothing is hidden and you are free to write queries as optimized and specialized as you need. The real selling point of Doobie is a typesafe API for manipulating and combining queries, and fragments of queries, into larger wholes. This works very well when your application interfaces with a database it doesn't own.
With Slick you get access to a DSL that lets you layout how your tables look. From there Slick offers an api that let's you treat SQL tables as-if they are basically mutable collections, with Slick handling all the SQL generation itself. You also get DDL, so that you can automate db creation and upgrades. This work very well when your application owns and controls the database it is connecting to.
Both of these have diverged from that traditional ORM model. Slick bills itself as FRM, or Functional Relational Mapping. And Doobie is embedded queries on steroids.
I have had poor experiences with "fancy" SQL libraries in multiple languages. This includes Slick and Quill in Scala.
I don't remember what the problems were with Slick that leave such a bad feeling when I hear its name -- that was 5 years ago -- but I had problems with Quill just last year. I was trying to use it to generate an efficient "in" query against a two column composite primary key, and nothing seemed to work. Since it uses macro magic, one of my attempts triggered an internal compiler error instead of normal compiler feedback.
It seems to be less popular/active than other libraries, but it is dead simple to use, even for developers new to Scala. I write exactly the SQL I want just like I would in psql. There is little-to-no magic. I think that the only slightly magical feature I use is variable interpolation into SQL ("SQLInterpolation") that prevents injection attacks. It actually has capabilities to automatically map tables/columns into different structures and generate code for you, but my team doesn't use any of that. We just write SQL.
I didn't have a good experience with scalikejdbc, which was what we ended up using. Possibly we didn't use it well, and I can't remember the details now, but our DB code ended up looking like a mess.
they never said that, but it's basically abadonware. look at the commit history: https://github.com/slick/slick/commits/master you can also look at the contributors page: https://github.com/slick/slick/graphs/contributors the guys who primarly contributed to it basically left lightbend, and in 2019 he shifted his priorities.
it only had 28 commits since 2020 (including merge commits and changes to the build process) it's basically dead until somebody steps up.
well as said 28 commits, NOT ALL were code. MOST of them were basically "fix build"/update dep. so basically the project did not change for over a year.
AND 2019 wasn't really better. 3.3.2 (3.3.3 was mid 2020) was in JUNE 2019 and 3.3.0 was at the beginning of 2019. there won't be a 3.4 anytime soon, if nobody steps up and starts maintaining it, there won't be a 3.4 at all.
slick is heavy on macros it will not survive scala 3
I haven't used it heavily but one of our newer microservices uses Quill for read-only access to Postgres. I have found it to be great to work with, to combination of "just use case classes" and a DSL that feels like writing SQL is pretty nice.
I seem to remember Stefan Ziegler asking around the channels about questions relating to how to do certain features to uplift Slick. Don't know if anything came out of it.
With Doobie you manually write your queries, and then map the results into the objects in your domain model. Nothing is generated for you. OTOH, nothing is hidden and you are free to write queries as optimized and specialized as you need. The real selling point of Doobie is a typesafe API for manipulating and combining queries, and fragments of queries, into larger wholes. This works very well when your application interfaces with a database it doesn't own.
With Slick you get access to a DSL that lets you layout how your tables look. From there Slick offers an api that let's you treat SQL tables as-if they are basically mutable collections, with Slick handling all the SQL generation itself. You also get DDL, so that you can automate db creation and upgrades. This work very well when your application owns and controls the database it is connecting to.
Both of these have diverged from that traditional ORM model. Slick bills itself as FRM, or Functional Relational Mapping. And Doobie is embedded queries on steroids.