ScaleOut Software has integrated Microsoft's powerful LINQ-based query capability into its in-memory data grid, allowing applications to perform fully distributed queries for grid-based objects.

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 ...

Journal of Parallel and Distributed Computing (2019). [3] Generating custom code for efficient query execution on heterogeneous processors . The VLDB Journal (2018).

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 ...

By realigning data access patterns and utilising idle SIMD lanes, these algorithms have achieved performance boosts in critical operations such as table scans, hash joins, and geospatial queries [3].

For instance, in the above example, parallel databases with simple federation capabilities would still use the execution strategy A. This means 695 million rows would need to be transferred through ...

CitusDB’s innovation comes in its high-performance parallel processing capability within the Postgres core, said Matt Ocko, a partner with Data Collective and an investor in the company.

Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?