About a-team Marketing Services

A-Team Insight Blogs

ScaleOut Addresses Big Data In-Memory Analytics; Adds Multi-Site, Cloud Support

Subscribe to our newsletter

ScaleOut Software has released version 5 of its ScaleOut StateServer in-memory data grid.  For the first time, it supports linking grids across physical sites, including leveraging cloud services – providing an elastic architecture for big data analysis.  Version 5 is currently available for public clouds Amazon Web Services and Windows Azure.

“By helping developers and architects transparently access data from any networked data grid location, we can dramatically simplify their applications and create important new capabilities, such as seamlessly migrating application data into the cloud for processing,” says Dr. William L. Bain, Founder and CEO of ScaleOut Software.

Version 5 also introduces optimised, property-based query of grid-based data that can be performed directly from application programs.  The .NET community can use Microsoft’s Language Integrated Query (LINQ), and Java developers can use familiar filtered queries to programmatically access groups of related data within the grid based on selected criteria associated with the data.  This capability both simplifies the structure of queries and enables fast, parallel access from all grid servers.

In addition, property-based queries are now integrated into the ScaleOut MapReduce engine, making the selection of objects for analysis intuitive and straightforward for developers.  And a new columnar-based analysis capability has been added to enable efficient analysis and updating of a targeted set of large grid objects in a manner similar to running stored procedures in a database environment.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Detecting and preventing market abuse

Market abuse – unlawful disclosure of inside information, insider trading, circular trading, “pump and dump” schemes, etc. – poses significant threats to the integrity of capital markets. In 2024, global trading house Trafigura agreed to pay a $55 million fine to the U.S. Commodity Futures Trading Commission (CFTC) for trading with non-public information, manipulating a...

BLOG

Beyond the AI Hype: Six Trading Technology Trends to Watch in 2025

The trading technology landscape is heading into 2025 with unprecedented momentum, driven by a convergence of regulatory changes, market structure reforms, and advances in core infrastructure technologies. While artificial intelligence dominates much of the conversation around fintech, the year ahead will also be shaped by broader, practical shifts—from faster settlement cycles and rising data costs...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Data Lineage Handbook 2019

Welcome to our latest handbook on data lineage, a critical concern for data managers working to achieve regulatory compliance, deliver operational gains, and provide meaningful value to the business. The handbook covers the complete scope of data lineage, with a view to helping you win management buy-in and budget, decide whether to build or buy...