GridGain Adds New Level of Security to In-Memory Computing Platform

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.

In-Memory Database vs. In-Memory Data Grid

Nikita Ivanov, CTO of GridGain

In-memory computing is comprised of two main categories: In-Memory Databases and In-Memory Data Grids. Nikita Ivanov, CTO of GridGain delves into the differences between the two and when to apply each technology.

In-Memory Computing Powers Real-Life Marathons

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 In-Memory Computing Platform now Available Under Apache 2.0 License

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.

Long Live In Memory Computing

Nikita Ivanov, CTO of GridGain

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.

GridGain Announces In-Memory Computing Stack

gridgain_logo

GridGain’s In-Memory Computing Stack expands possibilities for real-time decision making, enabling businesses to better understand customer preferences and external influences, and extract insights across broad data sets.