OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
Summary: Unified offline-online feature computation via a single plan; ensures consistency and lowers deployment cost. Low-latency online execution; pre-aggregation for fast responses; compact time-series format and stream indexing enable real-time features. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xuanhe Zhou (Shanghai Jiao Tong University)
- 2. Wei Zhou (Shanghai Jiao Tong University)
- 3. Liguo Qi (4Paradigm)
- 4. Hao Zhang (4Paradigm)
- 5. Dihao Chen (SF Express)
- 6. Bingsheng He (National University of Singapore)
- 7. Mian Lu (4Paradigm)
- 8. Guoliang Li (Tsinghua University)
- 9. Fan Wu (Shanghai Jiao Tong University)
- 10. Yuqiang Chen (4Paradigm)
BibTeX Citation
@inproceedings{zhou_sigmod25,
title = {{OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML}},
author = {Zhou, Xuanhe and Zhou, Wei and Qi, Liguo and Zhang, Hao and Chen, Dihao and He, Bingsheng and Lu, Mian and Li, Guoliang and Wu, Fan and Chen, Yuqiang},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724446},
url = {https://dl.acm.org/doi/10.1145/3722212.3724446},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,200 | Automating Database-Native Function Code Synthesis with LLMs | 2026 | SIGMOD | 5.093636e-05 |
| 10,532 | DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs | 2026 | VLDB | 5.093636e-05 |
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