|
GridGain Systems, is a privately held U.S.-based IT technology company, established in 2007, with its headquarters located in Foster City, CA. It provides software and services that enable dramatic performance and scalability improvements of real-time big data systems by utilizing in-memory computing to increase data throughput and minimize latency. ==Products and technology== In-Memory Computing is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies. GridGain’s products are designed to deliver uncompromised performance and virtually unlimited scale for a wide set of in-memory computing use cases, reaching from ACID-compliant high-volume transactions to real-time analytics, as well as hybrid transactional-/analytical processing and IoT. GridGain provides a comprehensive in-memory computing platform built on the open source Apache Ignite (incubating) project that has been optimized for Java, .NET and C++ environments. The GridGain In-Memory Data Fabric acts as a data access and processing layer between the application and the data stores that utilizes memory (RAM) as the primary data repository for hot data as opposed to disk. By utilizing system memory rather than disk, this system is able to achieve significant performance improvements over traditional data processing systems. Unlike legacy in-memory databases and data grids, the GridGain Data Fabric offers a well-integrated set of capabilities, including: * Data Grid * Compute Grid * Service Grid * Streaming * Clustering * Distributed Messaging * Distributed Events * Distributed Structures * Distributed File System * Hadoop Acceleration 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「GridGain Systems」の詳細全文を読む スポンサード リンク
|