A recent paper by Oleg Kiselyov and Yukiyoshi Kameyama at the university of Tsukuba discusses weaknesses and areas for improvement to Prolog.

Quite many computations and models are mostly deterministic. Implementing them in Prolog with any acceptable performance requires the extensive use of problematic features such as cut. Purity is also compromised when interfacing with mainstream language libraries, which are deterministic and cannot run backwards. Divergence is the constant threat, forcing the Prolog programmers to forsake the declarative specification and program directly against the search strategy. All in all, Classical Prolog is the exquisite square peg in the world with mostly round holes

The strong points of Prolog can be brought into an ordinary functional programming language. Using OCaml as a representative, we implement lazy guessing as a library, with which we reproduce classical Prolog examples. Furthermore, we demonstrate parser combinators that use committed choice (maximal munch) and can still be run forwards and backwards. They cannot be written in Classical Prolog. Logic variables, unification, and its WAM compilation strategy naturally emerge as a "mere optimization" of the Herbrand universe enumeration.

The paper mentions the strength of the approach used by miniKanren (which embeds logic programming with fairer search strategy than normal Prolog into Scheme) and Hansei (which embeds probability based nondeterminism into Ocaml using delimited continuations to allow direct-style expression of monadic code).

After motivating some choices by studying the prototypical example of running append backwards they cover running parsers with "maximal munch" rule backwards - something that cannot be (declaratively) expressed in prolog.

A very interesting paper on logic programming! It also thanks Tom Schrijvers of CHR fame at the end.