Jelly-Patch: a Fast Format for Recording Changes in RDF Datasets
Abstract
Recording data changes in RDF systems is a crucial capability, needed to support auditing, incremental backups, database replication, and event-driven workflows. In large-scale and low-latency RDF applications, the high volume and frequency of updates can cause performance bottlenecks in the serialization and transmission of changes. To alleviate this, we propose Jelly-Patch -- a high-performance, compressed binary serialization format for changes in RDF datasets. To evaluate its performance, we benchmark Jelly-Patch against existing RDF Patch formats, using two datasets representing different use cases (change data capture and IoT streams). Jelly-Patch is shown to achieve 3.5--8.9x better compression, and up to 2.5x and 4.6x higher throughput in serialization and parsing, respectively. These significant advancements in throughput and compression are expected to improve the performance of large-scale and low-latency RDF systems.
Keywords
Cite
@article{arxiv.2507.23499,
title = {Jelly-Patch: a Fast Format for Recording Changes in RDF Datasets},
author = {Piotr Sowinski and Kacper Grzymkowski and Anastasiya Danilenka},
journal= {arXiv preprint arXiv:2507.23499},
year = {2025}
}
Comments
Accepted at the International Semantic Web Conference 2025 Posters and Demos, November 2-6, 2025, Nara, Japan