I am having the same problem reported by cossio. Basically 100% of my codes are related to string handling, dictionaries, hashs, and so on. My dicts are huge (really big) and I must use a string content as keys. Aside of that, I made use of a plenty number of fuzzy and string distance functions always readling and writing zillion number of CSV or TSV files.
I read at this polemic thread: https://www.reddit.com/r/Julia/comments/629qkz/about_a_year_ago_an_article_titled_giving_up_on/
that string handling and text formatting is one of the areas where Julia is been improved, and I am very happy with that, mainly because I loved the language.
Given the core business of my company, I managed a lot of projects related to string data frames in the last years. We made a lot of tests with new languages to find out the best option for us aside Python.
Although I am in love with Julia, I must confess her performance is not so good against APIs like Pandas, or NimData - A DataFrame written in Nim, or Kniren - A DataFrame and data wrangling in Go.
Anyway, for sure, I will continue to support the language and spread the word with my fellow colleagues. I am sure the upcomming Julias will be improved in the string handling area.