Neural Text-to-SQL systems have been appearing with increasing frequency since the introduction of the first large-scale benchmarks for the task. With multiple new systems being introduced each year, it is often hard to follow the research trends and new directions that arise. This chapter presents a walkthrough of different Text-to-SQL systems, grouping them in comprehensive groups based on common core ideas and research approaches. Using the taxonomy presented in the previous chapter, we aim to present and compare different systems and ultimately shed light into what has been done since the rise of neural Text-to-SQL.