The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Recent advances in graphics processing units (GPUs) have opened a new frontier in query processing and database systems. Leveraging the massively parallel architecture of GPUs, modern database engines ...

Dynamic filtering is a technique that filters out unnecessary data in advance during the database query process. The core ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

On September 9, news emerged that the 51st top database conference, VLDB 2025, concluded in London, UK, with two research ...

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in ...

Kinetica, a relational database provider for online analytical processing (OLAP) and real-time analytics, is harnessing the power of OpenAI’s ChatGPT to let developers use natural language processing ...

Tables within a database management system (DBMS) need primary keys and defined indexes in order for the DBMS to have the opportunity to provide good query performance. Without indexing, the worst ...