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

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 ...

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 ...

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 ...

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.

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 ...

This paper deals with a lucid mathematical model for evaluating the average response time for queries in DBMS (DataBase Management System). Response time is one of the key metrics for performance ...

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 ...