Query Processing: The suite of methods and algorithms used to evaluate and execute database queries efficiently.

The three features of adaptive query processing can make SQL Server 2017 significantly faster at processing your workload. Not only that, but they also provide significant improvements without needing ...

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 ...

Analytical queries run on online transaction-processing (OLTP) databases often take a long time to return answers. There are several reasons for this.

Natural language queries made to the database are routed through ChatGPT's API to produce a SQL query syntax that can be run to generate results, Kinetica says.

Key Takeaways Columnar databases help with Online Analytical Processing (OLAP) workloads since the queries touch across a subset of columns but a large number of rows for those columns. Columnar ...

This helps streamline query processing work. Multiple data transfers from disks are also eliminated, as are multiple data copies in memory, and CPU demands are minimized.

Blockchain can be inefficient in terms of data processing and query performance. Source: MDPI Another reason data queries are inefficient is the linear storage of data in blockchain networks.