How to choose a data-cleaning tool

Choose based on file size, transformation complexity, required review, repeatability, technical ownership, governance, and where the cleaned data must go next—not on a universal ranking.

Compare spreadsheets, Python or R, SQL, Power Query, BI preparation, focused utilities, and Prepyr by scale, skill, repeatability, risk, and audit needs.