About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

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: High-Performance Networks & Low-Latency Connectivity for Trading

With financial markets becoming more complex and interconnected in today’s electronic trading environment, trading firms, exchanges, and infrastructure providers need to continually push the boundaries of network performance to stay ahead. Ultra-low latency, seamless connectivity, and resilient infrastructure are no longer just advantages – to stay competitive, they’re necessities. This webinar, part of the A-Team...

BLOG

South Africa High on the List for Global HFT Firms

By Merlin Rajah, Head: Equities Electronic Product at Absa CIB. Infrastructure Evolution: JSE’s Leap Forward For exchanges, High-Frequency Trading (HFT) firms are a significant revenue driver – generating income through execution, clearing, settlement, colocation, and market data services. Sell-side firms benefit as well, gaining a steady revenue stream and an increased market share. A major...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...