根据维基百科的说法，Thrift运行时不能在Windows上运行。

正如我在“节俭vs协议缓冲区”主题中所说:

参考Thrift vs Protobuf vs JSON的比较:

Thrift supports out of the box AS3, C++, C#, D, Delphi, Go, Graphviz, Haxe, Haskell, Java, Javascript, Node.js, OCaml, Smalltalk, Typescript, Perl, PHP, Python, Ruby, ... C++, Python, Java - in-box support in Protobuf Protobuf support for other languages (including Lua, Matlab, Ruby, Perl, R, Php, OCaml, Mercury, Erlang, Go, D, Lisp) is available as Third Party Addons (btw. Here is SWI-Prolog support). Protobuf has much better documentation and plenty of examples. Thrift comes with a good tutorial Protobuf objects are smaller Protobuf is faster when using "optimize_for = SPEED" configuration Thrift has integrated RPC implementation, while for Protobuf RPC solutions are separated, but available (like Zeroc ICE ). Protobuf is released under BSD-style license Thrift is released under Apache 2 license

此外，对于这些解决方案，还有许多有趣的附加工具可用，这可能会决定。以下是Protobuf的示例:Protobuf-wireshark, protobufeditor。

这里有一些很好的观点，我要再补充一个，以防有人在这里遇到。

Thrift gives you an option to choose between thrift-binary and thrift-compact (de)serializer, thrift-binary will have an excellent performance but bigger packet size, while thrift-compact will give you good compression but needs more processing power. This is handy because you can always switch between these two modes as easily as changing a line of code (heck, even make it configurable). So if you are not sure how much your application should be optimized for packet size or in processing power, thrift can be an interesting choice.

PS:请看thekvs的这个优秀的基准测试项目，它比较了许多序列化器，包括thrift-binary, thrift-compact和protobuf: https://github.com/thekvs/cpp-serializers

PS:有另一个名为YAS的序列化器也提供了这个选项，但它是无模式的，参见上面的链接。

同样重要的是要注意，并非所有受支持的语言都与thrift或protobuf一致。在这一点上，除了底层序列化之外，还涉及到模块实现的问题。注意检查您计划使用的语言的基准。

一个尚未提到的明显的事情是，它们既可以是赞成的，也可以是反对的(两者都是一样的)，它们是二进制协议。这允许更紧凑的表示和可能更好的性能(优点)，但降低了可读性(或更确切地说，可调试性)，这是一个缺点。

此外，两者对工具的支持都比xml(甚至json)等标准格式少一些。

(编辑)这里有一个有趣的比较，解决了大小和性能的差异，并包括一些其他格式(xml, json)的数字。

首先，protobuf并不是一个完整的RPC实现。它需要像gRPC这样的东西来配合。

与Thrift相比，gPRC非常慢:

http://szelei.me/rpc-benchmark-part1/