The recent developments in the research area of database management systems (DBMS) and data visualization have shown a strong emphasis on enhancing performance, scalability, and usability. Innovations in benchmarking and performance analysis tools, such as visual analytics systems, are being developed to provide more intuitive and efficient ways to compare and interpret DBMS performance. These tools are crucial for both researchers and industry professionals to make informed decisions about DBMS selection and optimization. Additionally, there is a growing focus on modular and high-speed storage engine architectures, which aim to improve the performance of key-value stores while maintaining advanced functionalities. In the realm of data visualization, there is a shift towards more effective methods for representing uncertainty and multivariate data, which are critical for accurate decision-making. Furthermore, the integration of schema inference directly into DBMSs is being explored to enhance the usability and scalability of NoSQL databases. Overall, the field is moving towards more integrated, efficient, and user-friendly solutions that address the complex needs of modern data management and analysis.