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Google developed Protocol Buffers for internal use and provided a code generator for multiple languages under an open-source license. The design goals for Protocol Buffers emphasized simplicity and performance. In particular, it was designed to be smaller and faster than XML. [3]
Netstrings [c] Not in protocol. Not in protocol. Not in protocol. Not in protocol. Length-encoded as an ASCII string + ':' + data + ',' Length counts only octets between ':' and ',' Not in protocol. Not in protocol. OGDL Binary Property list (binary format) Protocol Buffers
Use cases range from microservices to the "last mile" of computing (mobile, web, and Internet of Things). gRPC uses HTTP/2 for transport, Protocol Buffers as the interface description language, and provides features such as authentication, bidirectional streaming and flow control, blocking or nonblocking bindings, and cancellation and timeouts ...
It has two different types of schema languages: one for human editing (Avro IDL) and another which is more machine-readable based on JSON. [3] It is similar to Thrift and Protocol Buffers, but does not require running a code-generation program when a schema changes (unless desired for statically-typed languages).
However, while JSON and MessagePack aim to serialize arbitrary data structures with type tags, Protocol Buffers requires a schema to define the data types. Protocol Buffers compiler creates boilerplate code in the target language to facilitate integration of serialization into the application code; MessagePack returns only a dynamically typed ...
The high-level design focuses on speed and security, making it suitable for network as well as inter-process communication. Cap'n Proto was created by the former maintainer of Google's popular Protocol Buffers framework (Kenton Varda) and was designed to avoid some of its perceived shortcomings.
FlatBuffers is a free software library implementing a serialization format similar to Protocol Buffers, Thrift, Apache Avro, SBE, and Cap'n Proto, primarily written by Wouter van Oortmerssen and open-sourced by Google. It supports “zero-copy” deserialization, so that accessing the serialized data does not require first copying it into a ...
MPI-2's LIS specifies over 500 functions and provides language bindings for ISO C, ISO C++, and Fortran 90. Object interoperability was also added to allow easier mixed-language message passing programming. A side-effect of standardizing MPI-2, completed in 1996, was clarifying the MPI-1 standard, creating the MPI-1.2.