The Globus® Toolkit is an open source software toolkit used for building grids. It is being developed by the Globus Alliance and many others all over the world. A growing number of projects and companies are using the Globus Toolkit to unlock the potential of grids for their cause.
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing, including:
* Hadoop Core, our flagship sub-project, provides a distributed filesystem (HDFS) and support for the MapReduce distributed computing framework.
* HBase builds on Hadoop Core to provide a scalable, distributed database.
* Pig is a high-level data-flow language and execution framework for parallel computation. It is built on top of Hadoop Core.
* ZooKeeper is a highly available and reliable coordination system. Distributed applications use ZooKeeper to store and mediate updates for critical shared state.
* Hive is a data warehouse infrastructure built on Hadoop Core that provides data summarization, adhoc querying and analysis of datasets.
Fura is a self-contained grid middleware that allows the grid enablement and distribution of applications on heterogeneous computational resources. Fura features a web-based GUI, wizard-guided installation and configuration, and Web Services compliance. Fura's component based plug-in architecture allows grid services to be extended or replaced, and new services can be developed reusing existing components.
Fura is for developers or highly technical enthusiasts who want the open and latest grid technology early and often to use it in non-critical computing environments. It is not recommended to use Fura where support options, maintenance, and software/hardware certifications are valued. For such environments, you must use either Fura Open Enterprise Edition (GPL Licensed) or Fura Commercial Enterprise Edition (Commercial EULA).
GridGain is a computational grid framework. Its goal is to improve general performance of processing intensive applications by splitting and parallelizing the workload. In many cases GridGain is used to achieve better overall throughput, better scalability or availability of services.
Following picture illustrates the basic idea behind processing grids: