网络通信中间件

本文对比了ZeroC Ice、Facebook Thrift、Google Protocol Buffers和Apache Avro等跨语言RPC框架的特点与应用。这些框架提供了丰富的功能,如代码生成、高效的数据序列化以及RPC支持,适用于多种编程语言。

ZeroC Ice

http://www.zeroc.com/

The Internet Communications Engine (Ice) is a modern distributed computing platform with support for C++, .NET, Java, Python, Objective-C, Ruby, PHP, and ActionScript. Ice is used in mission-critical projects by companies all over the world.

Ice is easy to learn, yet provides a powerful network infrastructure and vast array of features for demanding technical applications.

Ice is free software, available with full source, and released under the terms of GNU General Public License (GPL). Commercial licenses are available for customers who wish to use Ice for closed-source software.

 

Facebook Thrift

http://thrift.apache.org/

http://diwakergupta.github.io/thrift-missing-guide/
The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.

 

Google Protocol Buffers

https://developers.google.com/protocol-buffers/

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages – Java, C++, or Python.

 

Apache Avro

http://avro.apache.org/

Apache Avro™ is a data serialization system.

Avro provides:

  • Rich data structures.
  • A compact, fast, binary data format.
  • A container file, to store persistent data.
  • Remote procedure call (RPC).
  • Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation as an optional optimization, only worth implementing for statically typed languages.

 

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