Improve query performance 4.2 times in average compared with Apache Spark SQL which is widely used parallel query processing system in both academia and industry. Can have a huge impact on large ...

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.

This paper proposes a Beowulf cluster for fast query processing by distributing the database horizontally over nodes through a load balancing act.

GPU Acceleration: The use of graphics processing units for parallel processing, significantly enhancing the performance of computation-heavy tasks such as bitmap query evaluation.

Database vendor Sybase is upgrading its column-oriented database, Sybase IQ, to run on a massively parallel processing (MPP) architecture. The company announced the beta of the new Sybase IQ ...

Now available with ScaleOut Software's suite of in-memory data grid products, including ScaleOut StateServer® and ScaleOut ComputeServer™, computational query makes it easy for .NET developers and ...

Swarm64.com has developed open source parallel processing software that improves PostgreSQL scalability and performance for analytics systems.

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

As the company name suggests, Swarm64 leverages parallel processing to accelerate and scale PostgreSQL performance, spinning up 64 parallel threads to execute queries. The 4.0 version released last ...

Vladimir Havlena, development team manager of Inzata comments, ''Our increased functionality within our upgraded massive parallel query processing engine really is a step forward in what is ...