CrackSQL introduces a novel hybrid system that combines large language models with rule-based techniques to accurately translate SQL queries between different database dialects.

• Addresses a critical challenge in database interoperability with 94.8% accuracy on complex queries
• Leverages task decomposition to break complex translations into manageable sub-problems
• Employs a unique two-phase approach: LLM-based translation followed by rule-based verification
• Significantly outperforms both pure LLM solutions and traditional rule-based systems

This innovation enables seamless migration between database systems, reduces maintenance costs, and eliminates the need for extensive manual rewrites when working across multiple database platforms.

CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models