Relational Database

Relational databases are structured data management systems designed to efficiently store, retrieve, and manipulate data. Current research focuses on improving query performance through techniques like learned cardinality estimation (using GNNs and transformers) and enhancing user interaction via natural language interfaces and text-to-SQL models. These advancements aim to address challenges such as data ambiguity, inefficient resource utilization, and the need for seamless integration with large language models for complex queries, ultimately improving data accessibility and analysis for both experts and non-programmers. The development of standardized benchmarks and synthetic data generation methods further supports rigorous evaluation and responsible data sharing.