ScaleOut StateServer® Version 5 Launched with Breakthrough Performance and Scalability for Enterprise Applications

New features include enhanced parallel query, extended analytics, global data integration, and public cloud support.

NEW YORK, NY, June 11, 2012 – ScaleOut Software, a leading provider of in-memory data grid (IMDG) solutions, today released ScaleOut StateServer® Version 5 with increased scalability and public cloud support. Released in beta earlier this year, StateServer Version 5 also integrates expanded analysis capabilities with property-based parallel query, includes global data integration, and contains other important new features.

Version 5’s new membership architecture significantly advances IMDG scalability. Currently, the use of IMDGs is quickly expanding, and the need for scalability to hundreds of servers has emerged as a requirement to handle increased workloads and to enable the use of IMDGs for real-time data analytics. With Version 5 it is now practical to deploy very large in-memory data grids holding terabytes of data that provide seamless elasticity and have powerful operating characteristics that set a new standard for speed, reliability, and ease of use.

“According to our research, nearly one-third of organizations are using cloud computing services as a cost containment strategy in 2012,” said said Brian Babineau, vice president of Enterprise Strategy Group. “One of the easiest ways to achieve this objective is using scalable, on-demand compute resources to run performance intensive applications. The rapid adoption of in-memory data grids is an important enabler for this strategy because they provide the elastic architecture to easily boost application response times across servers. The next logical step is to expand the use of data grids and in-memory computing for fast data analysis in the cloud.”

Version 5 is the first IMDG to link together in-memory data grids at multiple sites, including the cloud, into a single, logically coherent grid. This feature enables the seamless migration of data across geographies without the need to replicate data from site to site. With Version 5, users are now able to transparently combine multiple IMDGs into a single, virtual data grid to simplify data access and speed program development.

“Global data integration has been an elusive goal for companies that store fast-changing application data at multiple locations and need to access it from remote sites,” said Dr. William L. Bain, Founder and CEO of ScaleOut Software. “Replicating data to every location is not practical, and manually migrating data on demand is costly, error-prone and inefficient. However, 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.”

Version 5 also introduces highly optimized, 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.

Analysts using IMDGs for fast, in-memory analytics will particularly benefit from this release, as it advances the use of IMDGs for data mining and analysis in several ways. First, the global data integration feature enables users to broaden the reach for data to be analyzed. Also, property-based query is now integrated into the ScaleOut map/reduce engine, making the selection of objects for analysis intuitive and straightforward for developers. Additionally, 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. With Version 5, real-time map/reduce analytics is both easier to develop and significantly faster than disk-based approaches.

Version 5 is cloud-ready and available for use in the public cloud. Version 5 is currently available at Amazon Web Services in the AWS Marketplace and on Windows Azure. Other public clouds will be supported in the coming months. ScaleOut’s graphical management tools offer breakthrough capabilities which simplify the deployment and management of IMDGs in public clouds. Also, all of ScaleOut StateServer’s on-premise functionality is also available in cloud environments.

For organizations with multiple applications accessing data within a single in-memory data grid, Version 5 also adds new features that increase security. Data that requires controlled access within a datacenter now be protected from unathorized access using a two-tiered authorization architecture. The site administrator can select between a simplified mechanism that controls access using the operating sytem’s user accounts or a fully extensible mechanism that connects to an external authorization provider.

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Notes to editors:

Screen shots and demos are available on request.

About ScaleOut Software, Inc.

ScaleOut Software develops software products that provide scalable, highly available in-memory data grids and near real-time analytics for workload data in server farms and compute grids. It has offices in Bellevue, Washington, Beaverton, Oregon, and New York City. The company was founded by Dr. William L. Bain, whose previous company, Valence Research, developed and distributed Web load-balancing software that was acquired by Microsoft Corporation and is now called Network Load Balancing within the Windows Server operating system.

Please visit www.scaleoutsoftware.com or follow us on Twitter @scaleout_inc for more information.