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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    ^ PHP will unserialize any floating-point number correctly, but will serialize them to their full decimal expansion. For example, 3.14 will be serialized to 3.140 000 000 000 000 124 344 978 758 017 532 527 446 746 826 171 875. ^ XML data bindings and SOAP serialization tools provide type-safe XML serialization of programming data structures ...

  3. Protocol Buffers - Wikipedia

    en.wikipedia.org/wiki/Protocol_Buffers

    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.

  4. MessagePack - Wikipedia

    en.wikipedia.org/wiki/MessagePack

    MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.

  5. Cap'n Proto - Wikipedia

    en.wikipedia.org/wiki/Cap'n_Proto

    [note 1] For example, the representation of numbers was chosen to match the representation the most popular CPU architectures. [4] When the in-memory and wire-protocol representations match, Cap'n Proto can avoid copying and encoding data when creating or reading a message and instead point to the location of the value in memory. Cap'n Proto ...

  6. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    This makes accessing data in these formats much faster than data in formats requiring more extensive processing, such as JSON, CSV, and in many cases Protocol Buffers. Compared to other serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations).

  7. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    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 ...

  8. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    JSON streaming comprises communications protocols to delimit JSON objects built upon lower-level stream-oriented protocols (such as TCP), that ensures individual JSON objects are recognized, when the server and clients use the same one (e.g. implicitly coded in). This is necessary as JSON is a non-concatenative protocol (the concatenation of ...

  9. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    While JSON provides a syntactic framework for data interchange, unambiguous data interchange also requires agreement between producer and consumer on the semantics of specific use of the JSON syntax. [25] One example of where such an agreement is necessary is the serialization of data types that are not part of the JSON standard, for example ...