Binary serialization for performance and random access with 3D data, Structured data exchange where small size and extensibility are needed
It's a high-performance serialization tool, but you should compare it to alternatives like Parquet or Cap'n Proto for your specific needs.
Situations where developer usability and fun are a primary concern (implied comparison to tools like Thrift)
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For all the flak Meta gets, the developer oriented technologies released by them: Thrift, PyTorch are fun to use as compared to Protobuf, Tensorflow.
Hacker News • HackerNews • Use case: Developer technology (implied comparison for usability)
easy to work with, great size (esp compressed), random access, close-to-optimal parsing, extensible.
Hacker News • HackerNews • Use case: Binary serialization for performance and random access with 3D data
Depending on your needs, the right tool might be Parquet or Arrow or protobuf or Cap’n Proto.
Hacker News • HackerNews • Use case: Considered as a potential serialization tool among other options.
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