Query processing and user interaction form the cornerstone of modern database systems, providing the framework for translating high‐level user queries into efficient, actionable operations.

Equally significant, advancements in query processing are streamlining the evaluation and execution of database queries on vast datasets.

With POLAR, the research group introduces an adaptive query processing technique that lowers the adoption barrier for existing database systems while decreasing the risk of performance cliffs from ...

DuckDB is an open-source OLAP database for analytical data management that operates as an in-process database, avoiding data transfer overhead. Leveraging vectorized query processing and Morsel ...

Online analytical processing databases speed up the multi-dimensional queries common in business intelligence applications.

For more exciting content, visit the Nanjing University GBase Technology Community, dedicated to becoming the most trusted ...

A further boost in performance can come when you also use an in-memory relational database management system. The fastest in-memory database can revolutionize data processing and analytics.

Queries are another thing and SQL is certainly a good choice for use on a database, but the question comes to mind who is going to program the queries?

At the InfoQ Dev Summit Munich, Markus Kett presented a database alternative for Java: the in-memory EclipseStore promises faster data processing with lower cloud costs. It stores Java objects as ...