Over the last decade, the new anytime, anywhere, personalized experience has driven query and transaction volumes up 10 to 1000x. It has created 50x more data about customers, products, and interactions. It has also shrunk the response times customers expect from days or hours to seconds or less. Download the new report from GridGain to learn how in-memory computing and in-memory data grids are tackling today’s data storage challenges.
Improving Speed, Scalability and the Customer Experience with In-Memory Data Grids
August 14, 2018 by Leave a Comment
In Memory Computing Speeds Results
January 31, 2017 by
In-Memory Computing can accelerate traditional applications by using a memory first design. Applicable to a wide range of domains, In-Memory Computing and In-Memory Data Grids take advantage of the latest trends in computer systems technology. “In-memory computing is designed to address some of the most critical and real-time task requirements today. This include real-time fraud detection, biometrics and border security and financial risk analytics. All of these use cases require very low latency access to data from very large amounts of data, which results in faster and more accurate decisions.”
In-Memory Data Grids
January 24, 2017 by Leave a Comment
This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of in-memory data grids and introduces the GridGain In-Memory Data Fabric. Download this guide to learn more.
The GridGain In-Memory Data Grid
October 26, 2016 by Leave a Comment
This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of in-memory data grids and introduces the GridGain In-Memory Data Fabric. Finally, it presents a deep dive on the capabilities of the GridGain solution. To learn more download this white paper.
In-Memory Computing: Leading the Fast Data Revolution
October 13, 2016 by Leave a Comment
In this white paper you will learn more about the aspects of in-memory computing in more detail and describe how the society of the future will depend on the capabilities it provides. Over the next few years, in-memory computing technology will be an integral part of changes that are dramatically transforming the world.
The Business Case for In-Memory Computing
October 2, 2014 by
This article is the second in an editorial series that will provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of business decisions, and use the insight to increase customer satisfaction and sales performance.
ScaleOut Extends In-Memory Data Grid with C++ APIs
January 8, 2014 by
“With this release, C++ developers now can easily integrate ScaleOut’s IMDG into their applications to provide scalable performance, as well as parallel query and integrated real-time analytics for applications written in C++,” said Bill Bain, ScaleOut’s CEO. “The added capabilities in Version 5.1 also introduce significant enhancements to ScaleOut StateServer’s features and performance and broaden its availability in the cloud.”
