Streaming View: An Efficient Data Processing Engine for Modern Real-time Data Warehouse of Alibaba Cloud
Summary: Streaming View integrates incremental view maintenance into AnalyticDB to provide high-throughput, complex real-time streaming ETL and to augment ZeroETL with robust transformation support. Tailored algorithms and optimizations yield up to 7x/20x speedups over traditional ETL/IVM while reducing system complexity and ensuring data consistency. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Fangyuan Zhang (Alibaba)
- 2. Mengqi Wu (Alibaba)
- 3. Chunlei Xu (Alibaba)
- 4. Yunong Bao (Alibaba)
- 5. Jiyu Qiao (Alibaba)
- 6. Yingli Zhou (Alibaba)
- 7. Hua Fan (Alibaba)
- 8. Caihua Yin (Alibaba)
- 9. Wenchao Zhou (Alibaba)
- 10. Feifei Li (Alibaba)
BibTeX Citation
@article{zhang_vldb25,
title = {{Streaming View: An Efficient Data Processing Engine for Modern Real-time Data Warehouse of Alibaba Cloud}},
author = {Zhang, Fangyuan and Wu, Mengqi and Xu, Chunlei and Bao, Yunong and Qiao, Jiyu and Zhou, Yingli and Fan, Hua and Yin, Caihua and Zhou, Wenchao and Li, Feifei},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5153--5165},
doi = {10.14778/3750601.3750634},
url = {https://doi.org/10.14778/3750601.3750634},
year = {2025}
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,948 | Nova: A Multi-Purpose Vector Engine for Low-Latency, Multi-Tenant, and Cross-Table Hybrid Retrieval | 2026 | VLDB | 4.9793485e-05 |
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