Introducing the GridGain In-Memory Computing Platform

White Papers > Big Data > Introducing the GridGain In-Memory Computing Platform
GridGain In-Memory Computing

In-memory computing is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large data sets in real-time. It performs orders of magnitude faster than possible with traditional disk-based or flash technologies. This white paper introduces the GridGain in-memory computing platform.

GridGain is an in-memory computing platform that delivers unprecedented speed and massive scalability to modern data processing. Built on the Apache Ignite open source project, GridGain enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer. GridGain easily powers both existing and new applications in a distributed, massively parallel architecture on affordable, industry-standard hardware. GridGain can run on premise, in a hybrid environment, or on a cloud platform such as AWS, Microsoft Azure or Google Cloud Platform.

GridGain provides a unified API which supports SQL, C++, .NET, Java/Scala/Groovy, Node.js and more access for the application layer. The unified API connects cloud-scale applications with multiple data stores containing structured, semi-structured and unstructured data. In-memory computing platforms like GridGain offer a strategic approach to in-memory computing.

Download the GridGain Systems In-Memory Computing white paper to learn more about this innovative platform.

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