FlatBuffers is a free softwarelibrary 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 separate part of memory. 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).
The serialized format allows random access to specific data elements (e.g. individual string or integer properties) without parsing all data. Unlike Protocol Buffers, which uses variable length integers, FlatBuffers encodes integers in their native size, which favors performance but leads to longer encoded representations.
Van Oortmerssen originally developed FlatBuffers for game development and similar applications.[5][1]
Although FlatBuffers has its own interface definition language to define the data to be serialized with it, it also supports schemas defined in the Protocol Buffers .proto format.[6]
Users
Some notable users of FlatBuffers:
Cocos2d-x, the popular free-software 2-D game programming library, uses FlatBuffers to serialize all of its game data.[7]
Facebook Android Client uses FlatBuffers for disk storage and communication with Facebook servers. The previously used JSON format was performing poorly.[8]
^"FlatBuffers for Unity". eXiin. 2015-09-21. Retrieved 2017-06-15. We tested flatbuffers [sic] on all major mobile platforms (iOS, Android, Amazon Os [sic], Windows Phone) we're building on[,] and it works pretty well.
^"FlatBuffers Documentation". Retrieved 2017-06-21. FlatBuffers is an efficient cross platform serialization library for C++, C#, C, Go, Java, JavaScript, PHP, and Python. It was originally created at Google for game development and other performance-critical applications.
^George Xie (2015-07-31). "Improving Facebook's performance on Android with FlatBuffers". Retrieved 2017-06-15. Story load time from disk cache is reduced from 35 ms to 4 ms per story. Transient memory allocations are reduced by 75 percent. Cold start time is improved by 10-15 percent. We have reduced storage size by 15 percent.