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Show HN: Apache Fory Rust – 10-20x faster serialization than JSON/Protobuf

(fory.apache.org)
66 points chaokunyang | 2 comments | 28 Oct 25 17:58 UTC | HN request time: 0.426s | source

Serialization framework with some interesting numbers: 10-20x faster on nested objects than json/protobuf.

  Technical approach: compile-time codegen (no reflection), compact binary protocol with meta-packing, little-endian layout optimized for modern CPUs.

  Unique features that other fast serializers don't have:
  - Cross-language without IDL files (Rust ↔ Python/Java/Go)
  - Trait object serialization (Box<dyn Trait>)
  - Automatic circular reference handling
  - Schema evolution without coordination

  Happy to discuss design trade-offs.

  Benchmarks: https://fory.apache.org/docs/benchmarks/rust
1. lsb ◴[28 Oct 25 20:19 UTC] No.45738562[source]▶
Curious about comparisons with Apache Arrow, which uses flatbuffers to avoid memory copying during deserialization, which is well supported by the Pandas ecosystem, and which allows users to serialize arrays as lists of numbers that have hardware support from a GPU (int8-64, float)
replies(1): >>45743025 #
2. chaokunyang ◴[29 Oct 25 05:39 UTC] No.45743025[source]▶
Apache Arrow is more of a memory format than a general‑purpose data serialization system. It’s great for in‑memory analytics and GPU‑friendly columnar storage.

Apache Fory, on the other hand, has its own wire‑stream format designed for sending data across processes or networks. Most of the code is focused on efficiently converting in‑memory objects into that stream format (and back) — with features like cross‑language support, circular reference handling, and schema evolution.

Fory also has a row format, which is a memory format, and can complement or compete with Arrow’s columnar format depending on the use case.