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.

A large body of work has been accomplished in distributed algorithms that is relevant in moving toward distributed query processing and query optimizers for large scale-out architectures.

Apache Pinot is an open-source, distributed database for customer-facing, real-time analytics, ingesting data from various sources and executing queries using SQL. It is implemented in Java.

DUBLIN, Calif., July 7, 2011 /PRNewswire/ — Sybase, Inc., an SAP® company (NYSE: SAP) and industry leader in enterprise and mobile software, today announced the general availability of Sybase® IQ 15.3 ...

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 ...

Distributed query processing: a query—or request to read large data sets—enters at a client level and is processed and optimized on the global level.

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

The in-memory query accelerator for MySQL is significantly faster than any version of MySQL database, and also much faster than specialized databases for analytics.” Responding to customer feedback ...

Spatial indexing: A method for organising spatial data to accelerate query processing and reduce computational overhead. Distributed computing: The use of a network of computers to store, ...