GridGain In-Memory Accelerator for Hadoop

Enhance Existing Hadoop Technology for Fast Data Processing

The GridGain In-Memory Accelerator for Hadoop enhances existing Hadoop technology to enable fast data processing using the tools and technology your organization is already using today. The GridGain Accelerator for Hadoop is based on the dual-mode, high-performance in-memory Ignite File System (IGFS) which is 100% compatible with Hadoop HDFS, and an in-memory optimized MapReduce implementation. In-memory HDFS and in-memory MapReduce provide easy to use extensions to disk-based HDFS and traditional MapReduce, delivering up to 100x faster performance.

GridGain MapReduce
An easy to install, plug-and-play solution that can accelerate MapReduce and HIVE jobs by up to 10x, featuring a dual mode, high-performance in-memory file system

Features:

  • 100x Faster Performance
  • In-Memory MapReduce
  • Highly Optimized In-Memory Processing
  • Standalone File System
  • Optional Caching Layer for HDFS
  • Read-Through and Write-Through with HDFS

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