More details can be found in our NDSS 2026 paper. Efficiently Detecting DBMS Bugs through Bottom-up Syntax-based SQL Generation @inproceedings{liang:sqlbull, title = {{Efficiently Detecting DBMS Bugs ...

In today’s digital world, data is everything. From tracking customer details to managing employee records or processing online transactions, businesses run on data. Managing this massive amount of ...

DuckDB is a high-performance analytical database system designed to excel in various data-intensive tasks. Focused on its speed, reliability, portability, and user-friendliness, DuckDB offers a robust ...

Abstract: Effective DBMS fuzzing relies on high-quality initial seeds, which serve as the starting point for mutation. These initial seeds should incorporate various DBMS features to explore the state ...

Data-driven firms rely on a DBMS to scale their capabilities. While the use cases of the DBMS vary from company to company, the outcome is essentially the same- a reliable database that can help ...

Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and ...

Open source PostgreSQL was today named database management system of the year by popular ranking site DB-Engines. The award follows a surge in popularity for the relational system, which was first ...

Abstract: Integrating data mining algorithms with a relational DBMS is an important problem for database programmers. We introduce three SQL implementations of the popular K-means clustering algorithm ...