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Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.
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
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
Cap'n Proto tries to make the storage/network protocol appropriate as an in-memory format, so that no translation step is needed when reading data into memory or writing data out of memory. [note 1] For example, the representation of numbers was chosen to match the representation the most popular CPU architectures. [4]
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 ...
The Protocol Buffers format provides a significantly more compact transmission format than MessagePack because it doesn't transmit field names. However, while JSON and MessagePack aim to serialize arbitrary data structures with type tags, Protocol Buffers requires a schema to define the data types.
Concise Binary Object Representation (CBOR) is a binary data serialization format loosely based on JSON authored by Carsten Bormann and Paul Hoffman. [a] Like JSON it allows the transmission of data objects that contain name–value pairs, but in a more concise manner. This increases processing and transfer speeds at the cost of human readability.
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