Node.js is a server-side JavaScript environment that uses an asynchronous event-driven model. It could handle  thousands of concurrent connections. This allows Node.js to get excellent performance based on the architectures of many Internet applications. It is an evented I/O for <A HREF="http://code.google.com/p/v8/" target="_blank">V8</A>, which is Google's open source JavaScript engine.<BR><BR>Using Javascript in the server and in the browser helps to work in a single programming environment. They could communicate using JSON.

Node.js is a server-side JavaScript environment that uses an asynchronous event-driven model. It could handle  thousands of concurrent connections. This allows Node.js to get excellent performance based on the architectures of many Internet applications. It is an evented I/O for V8, which is Google's open source JavaScript engine.

Node.JS - Builds Scalable Network Programs

Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM. It helps to write simpler correct concurrent applications using Actors, STM & Transactors. It could scale out on multi-core or multiple nodes using asynchronous message passing. For fault-tolerance it adopts the Let it crash or Embrace failure model to build applications that self-heals, systems that never stop.

Akka - Build Concurrent and Scalable Applications

Gpars is a framework which provides straightforward Java or Groovy-based APIs to declare, which parts of the code should be performed in parallel. Collections can have their elements processed concurrently, closures can be turned into composable asynchronous functions and run in the background on your behalf, mutable data can be protected by agents or software transactional memory.<BR><BR>GPars helps to create several independent Actors, which consume messages passed to them and communicate with other actors by sending them messages.


Gpars is a framework which provides straightforward Java or Groovy-based APIs to declare, which parts of the code should be performed in parallel. Collections can have their elements processed concurrently, closures can be turned into composable asynchronous functions and run in the background on your behalf, mutable data can be protected by agents or software transactional memory.

Gpars - Groovy parallel systems

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Node.JS - Builds Scalable Network Programs

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