Distributed and Parallel Databases serves as a high-impact forum for cutting-edge research in the design, implementation, and management of distributed and parallel database systems. It presents innovative solutions that tackle the challenges of managing and processing large-scale data across multiple computing nodes. The journal addresses a wide spectrum of topics, such as data mining, information systems, computer science, data storage, information access and load, and information fusion. The journal caters to researchers, database administrators, and data scientists seeking to optimize data management and processing in distributed environments.
Indexed in major academic databases, Distributed and Parallel Databases fosters the exchange of knowledge and the dissemination of transformative ideas. It publishes original research articles, surveys, and case studies that advance the state-of-the-art in distributed and parallel database technology. The journal is committed to promoting innovation and collaboration in this rapidly evolving field.