Apache Dubbo is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.

Apache Dubbo - High-performance, java based, open source RPC framework.

Apache Hadoop is a framework for running applications on large clusters built of commodity hardware. The Hadoop framework transparently provides applications both reliability and data motion. Hadoop implements a computational paradigm named Map/Reduce, where the application is divided into many small fragments of work, each of which may be executed or reexecuted on any node in the cluster. In addition, it provides a distributed file system (HDFS) that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. Both Map/Reduce and the distributed file system are designed so that node failures are automatically handled by the framework.

Apache Hadoop is a framework for running applications on large clusters built of commodity hardware. Hadoop common supports other Hadoop subprojects

Hadoop Common

Carrot2 is an Open Source Search Results Clustering Engine. It could cluster the search results from various sources and generates small collection of documents. Carrot2 offers ready-to-use components for fetching search results from various sources including YahooAPI, GoogleAPI, Bing API, eTools Meta Search, Lucene, SOLR, Google Desktop and more.
 <img src="/AppImages/Article/carrot2-search.jpg" alt="" class="float-center"> 
 It is implemented in Java. It has native API implementation in CSharp. Java runtime is not required and the performance is comparable to Java. It has support of REST interface which could be called from PHP and Ruby. 
 If you have search instances running in multiple nodes and search has to perform across the nodes, then you need a way to combine those results, filter and sort them. Carrot2 helps to do this job efficiently. It is well suited to work with Lucene, Solr and Nutch. 
 Carrot2 could be even called as meta search engine. It has built-in functionality to fetch results from all popular search-engines and combine them. It also offers supporting tools like command-line and GUI application to experiment with this product. Firefox and IE search plug-in is also available. 
 
 Demo: <A HREF="http://search.carrot2.org/stable/search" target="_blank">http://search.carrot2.org/stable/search</A>

Carrot2 is an Open Source Search Results Clustering Engine. It could cluster the search results from various sources and generates small collection of documents. Carrot2 offers ready-to-use components for fetching search results from various sources including YahooAPI, GoogleAPI, Bing API, eTools Meta Search, Lucene, SOLR, Google Desktop and more.

Carrot2 - Search Results Clustering Engine

H2 database is very fast, open source database engine. 
 It supports : 
 <UL>
	<LI>It supports SQL and JDBC standards</LI>
	<LI>Encrypted database</LI> 
	<LI>Security and Authentication</LI>
	<LI>Multiple index types (b-tree, tree, hash)</LI> 
	<LI>Contains a recovery tool that can dump the contents of the database</LI> 
	<LI>Clustering</LI>
	<LI>Full text search</LI>
	<LI>Temporary Tables</LI> 
	<LI>User-Defined Datatypes</LI>
 </UL>

H2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.  


H2 Database - Java based Database Engine

Dubbo is a high-performance, java based RPC framework open-sourced by Alibaba. As in many RPC systems, dubbo is based around the idea of defining a service, specifying the methods that can be called remotely with their parameters and return types. On the server side, the server implements this interface and runs a dubbo server to handle client calls. On the client side, the client has a stub that provides the same methods as the server.

Dubbo - High-performance, java based, open source RPC framework

Hazelcast is a clustering and highly scalable data distribution platform for Java. It supports Distributed implementations of java.util.{Queue, Set, List, Map}, java.util.concurrency.locks.Lock, java.util.concurrent.ExecutorService, Distributed Indexing and Query support, Dynamic scaling, partitioning with backups, fail-over, Web-based cluster monitoring tool and lot more. 

Hazelcast - In-Memory Data Grid for Java

JPPF enables applications with large processing power requirements to be run on any number of computers, in order to dramatically reduce their processing time. This is done by splitting an application into smaller parts that can be executed simultaneously on different machines. 

JPPF - Parallelize computationally intensive tasks and execute them on a Grid

Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster. It is a thin Java library and API that sits on top of Hadoop's MapReduce layer and is executed from the command line like any other Hadoop application.

Cascading - Data Processing Workflows on Hadoop

Helix is a generic cluster management framework used for the automatic management of partitioned, replicated and distributed resources hosted on a cluster of nodes. It helps to perform scheduling of maintenance tasks, such as backups, garbage collection, file consolidation, index rebuilds, repartitioning of data or resources across the cluster, informing dependent systems of changes so they can react appropriately to cluster changes, throttling system tasks and changes and so on.

Helix - Cluster Management Framework

Apache Geode  is distributed, in-memory database for scale-out applications. All data is stored in-memory for low latency. Performance scales linearly as nodes are added. Data is distributed automatically between nodes to optimize performance. Clusters fail-over to other nodes in case of failures, and rebalance remaining resources. Geode servers can be configured to talk memcached protocol. 

Apache Geode - Distributed, In-memory Database for Scale-Out Applications

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