This chapter and the previous one introduced two different ways of interacting with SQL. In the previous chapter, we described how to use JDBC and build extensions on top of JDBC to make it more usable. In this chapter, we introduced Slick, a library that provides a functional interface on top of JDBC.

Which method should you choose? If you are starting a new project, you should consider using Slick. Even if you spend a considerable amount of time writing wrappers that sit on top of JDBC, it is unlikely that you will achieve the fluidity that Slick offers.

If you are working on an existing project that makes extensive use of JDBC, I hope that the previous chapter demonstrates that, with a little time and effort, you can write JDBC wrappers that reduce the impedance between the imperative style of JDBC and Scala's functional approach.