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  2. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    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).

  3. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    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 ...

  4. Comparison of data-serialization formats - Wikipedia

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

    Schema-IDL? Standard APIs Supports zero-copy operations Apache Arrow: Apache Software Foundation — De facto: Arrow Columnar Format: Yes No Yes Built-in C, C++, C#, Go, Java, JavaScript, Julia, Matlab, Python, R, Ruby, Rust, Swift Yes Apache Avro: Apache Software Foundation — No Apache Avro™ Specification: Yes Partial g — Built-in

  5. Cap'n Proto - Wikipedia

    en.wikipedia.org/wiki/Cap'n_Proto

    The Cap'n Proto interface schema uses a C-like syntax and supports common primitives data types (booleans, integers, floats, etc.), compound types (structs, lists, enums), as well as generics and dynamic types. [2] Cap'n Proto also supports object-oriented features such as multiple inheritance, which has been criticized for its complexity. [3]

  6. Protocol Buffers - Wikipedia

    en.wikipedia.org/wiki/Protocol_Buffers

    A schema for a particular use of protocol buffers associates data types with field names, using integers to identify each field. (The protocol buffer data contains only the numbers, not the field names, providing some bandwidth/storage savings compared with systems that include the field names in the data.)

  7. Comparison of API simulation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_API...

    The tools listed here support emulating [1] or simulating APIs and software systems.They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1]

  8. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Data orientation is the representation of tabular data in a linear memory model such as in-disk or in-memory.The two most common representations are column-oriented (columnar format) and row-oriented (row format).

  9. CBOR - Wikipedia

    en.wikipedia.org/wiki/CBOR

    CBOR encoded data is seen as a stream of data items. Each data item consists of a header byte containing a 3-bit type and 5-bit short count. This is followed by an optional extended count (if the short count is in the range 24–27), and an optional payload.