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 ...

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. As data ...

Not so with DBAs! In SQL Server 2017, when the query optimizer encounters code with a multi-statement TVF, the query optimizer will pause optimization, execute the TVF subtree to get a very accurate ...

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

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 ...

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

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 ...

And there's more. With Database 21c, Oracle adds another form of query processing for data persisted in-memory: vector processing for queries that involve repeated actions such as hash joins.

The fastest in-memory database offers companies unparalleled benefits when it comes to performance, speed, and data processing efficiency.