The company generates revenue with a paid, managed version of its database called ClickHouse Cloud. It combines the database ...

Prior to SQL Server 2017, query processing was a monolithic process ... on the quality of the cardinality estimates (i.e., an estimate of the number of rows of data involved in an operation), the ...

introduces an adaptive query processing technique that lowers the adoption barrier for existing database systems while decreasing the risk of performance cliffs from ill-performing query plans.

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

More importantly, the query optimizer should leverage in-memory parallel processing to perform post-processing operations that cannot be pushed down to the data sources.

After the user selects an analytic engine and a file system, Teradata software seamlessly orchestrates analytic processing across systems with a single SQL query, without moving the data.

Natural language processing opened the door for semantic ... Also based on NLP, MUM is multilingual, answers complex search queries with multimodal data, and processes information from different ...

But Big Data's not all about MapReduce. There’s another computational approach to distributed query processing, called Massively Parallel Processing, or MPP. MPP has a lot in common with MapReduce.