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 ...

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 ...

Parallel Query Processing in a Cluster using MPI and File System Caching. Data intensive applications that rely heavily on huge databases waste a lot of time in searching and retrieval especially ...

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 ...

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

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 ...

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.

Queries on this data can run on anywhere from one to 40,000 machines in parallel. Microsoft is planning to position the external-facing version of Cosmos as a complement to HDInsight, which is ...

Contemporary studies have focused on optimising bitmap query processing by integrating parallel computation frameworks. Recent advances include the development of GPU-based algorithms, ...

TAMPA, Fla., April 2, 2019 /PRNewswire/ -- Inzata, one of the fastest and most advanced cloud data warehouses in the world, has been massively upg ...