Styx: Transactional Stateful Functions on Streaming Dataflows
Summary: Styx is a dataflow-based SFaaS runtime enabling serializable transactions on stateful functions with arbitrary call-graphs and exactly-once guarantees. Key ideas: boundary acknowledgment, execution caching, and early commit-reply to cut latency; 10x throughput and near-linear scaling on YCSB, TPC-C, DeathStar. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kyriakos Psarakis (Delft University of Technology)
- 2. George Christodoulou (Delft University of Technology)
- 3. George Siachamis (INRIA; Institut Polytechnique de Paris)
- 4. Marios Fragkoulis (Delft University of Technology)
- 5. Asterios Katsifodimos (Delft University of Technology)
BibTeX Citation
@inproceedings{psarakis_sigmod25,
title = {{Styx: Transactional Stateful Functions on Streaming Dataflows}},
author = {Psarakis, Kyriakos and Christodoulou, George and Siachamis, George and Fragkoulis, Marios and Katsifodimos, Asterios},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725363},
url = {https://dl.acm.org/doi/10.1145/3725363},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,361 | Event Horizon: Asymmetric Dependencies for Fast Geo-Distributed Operations | 2026 | CIDR | 4.9769913e-05 |
| 11,087 | Transactional Cloud Applications Go with the (Data)Flow | 2025 | CIDR | 4.9769913e-05 |
| 11,398 | Styx in Action: Transactional Cloud Applications Made Easy | 2025 | VLDB | 4.9769913e-05 |
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Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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