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.

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 ...

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 ...

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 ...

Queries can be initiated from a Teradata Database to access, filter and return subsets of data from Hadoop, Aster and other database environments to the Teradata Database for additional processing.

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

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?

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.

Atlas Stream Processing already supported many of the key aggregation operators developers are familiar with in the Query API used with data at rest. Now added in public preview are powerful windowing ...