This article is the fourth 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. In last week’s article, we set the stage for in-memory computing technology in terms of […]
In this installment we’ll set the stage for in-memory computing technology in terms of its current state as well as its next stage of evolution. We’ll begin with a discussion of the capabilities of in-memory databases (IMDBs) and in-memory data grids (IMDGs), and show how they differ. We’ll finish up the section by demonstrating how neither one is sufficient for a company’s strategic move to IMC; instead, we will explain why a comprehensive in-memory data platform is needed.
Today at Big Data Innovation Summit 2014, GridGain Systems (www.GridGain.com), a leading innovator of open source in-memory computing solutions, announced the launch of the GridGain In-Memory Data Fabric, a comprehensive software solution that accelerates business operations and time to insights by enabling high-performance transactions, real-time streaming and ultra-fast analytics in a single, highly scalable data access and processing layer.
GridGain™ Systems, provider of the leading open source In-Memory Computing (IMC) Platform, announced that it has enhanced the security features on the latest version of its Enterprise Edition product to enable full visibility into all data access points across its platform, and now offers security audit, advanced authentication and fine grained authorization.
While marathons themselves haven’t changed much since ancient Greece, the experience surrounding them is limited only by imagination and technology. Chronotrack’s technology supports some of the world’s biggest races, like the New York and the Paris Marathons, providing detailed performance and scoring info to thousands of participants in real-time.
GridGain has officially released its In-Memory Computing Platform through an Apache 2.0 open source license, offering access to its technology for a broad range of real-time data processing applications.
By Nikita Ivanov, CEO of GridGain in Memory Computing. In the last 12 months we observed a growing trend that use cases for distributed caching are rapidly going away as customers are moving up stack… in droves. Let me elaborate by highlighting three points that when combined provide a clear reason behind this observation.