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Flatbuffers

Flatbuffers

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What is Flatbuffers?

FlatBuffers is an efficient cross-platform serialization library for C++, C#, C, Go, Java, Kotlin, JavaScript, Lobster, Lua, TypeScript, PHP, Python, and Rust. It is primarily used for game development and other performance-critical applications. Unlike other serialization formats like Protocol Buffers, FlatBuffers does not require a parsing/unpacking step to access serialized data. Instead, it stores data in a raw buffer that can be directly accessed without further processing, leading to significant performance gains, especially in latency-sensitive scenarios.

What other technologies are related to Flatbuffers?

Flatbuffers Competitor Technologies

Protobuf is a competing serialization format with similar goals of efficiency and schema definition. It is an alternative to FlatBuffers for serializing structured data.
mentioned alongside Flatbuffers in 1% (118) of relevant job posts
JSON is a human-readable data format often used for data exchange. While less efficient than FlatBuffers, its simplicity and wide support make it a common alternative.
mentioned alongside Flatbuffers in 0% (66) of relevant job posts
XML is a markup language used for data representation. Like JSON, it serves a similar purpose to FlatBuffers but is less efficient in terms of parsing and size.
mentioned alongside Flatbuffers in 0% (66) of relevant job posts

Flatbuffers Complementary Technologies

C is a programming language for which FlatBuffers has a supported implementation. It is complementary because FlatBuffers can be used to serialize data consumed or produced by C programs.
mentioned alongside Flatbuffers in 0% (59) of relevant job posts
C++ is a programming language for which FlatBuffers has a supported implementation. It is complementary because FlatBuffers can be used to serialize data consumed or produced by C++ programs.
mentioned alongside Flatbuffers in 0% (109) of relevant job posts
Python is a programming language for which FlatBuffers has a supported implementation. It is complementary because FlatBuffers can be used to serialize data consumed or produced by Python programs.
mentioned alongside Flatbuffers in 0% (60) of relevant job posts

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