Parsing Gigabytes of JSON per Second
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Abstract (arXiv)
JavaScript Object Notation or JSON is a ubiquitous data exchange format on the Web. Ingesting JSON documents can become a performance bottleneck due to the sheer volume of data. We are thus motivated to make JSON parsing as fast as possible. Despite the maturity of the problem of JSON parsing, we show that substantial speedups are possible. We present the first standard-compliant JSON parser to process gigabytes of data per second on a single core, using commodity processors. We can use a quarter or fewer instructions than a state-of-the-art reference parser like RapidJSON. Unlike other validating parsers, our software (simdjson) makes extensive use of Single Instruction, Multiple Data (SIMD) instructions. To ensure reproducibility, simdjson is freely available as open-source software under a liberal license.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Feb 2019.
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025JSON Whisperer: Efficient JSON Editing with LLMscited by 2
- 2026PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimizationcited by 2
- 2025(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEscited by 0
- 2026JTON: A Token-Efficient JSON Superset with Zen Grid Tabular Encoding for Large Language Modelscited by 0
- 2026PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization13 May 2026
- 2026JTON: A Token-Efficient JSON Superset with Zen Grid Tabular Encoding for Large Language Models7 Apr 2026
- 2025JSON Whisperer: Efficient JSON Editing with LLMs6 Oct 2025
- 2025(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs29 May 2025