Milvus: A Purpose-Built Vector Data Management System
Summary: Milvus is a purpose-built vector data management system for large-scale dynamic vector data on CPU/GPU and clusters. It offers SDKs/REST, advanced queries beyond similarity search, and scalable updates, outperforming Vearch/SPTAG by up to 100x. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jianguo Wang (Purdue University; Zilliz)
- 2. Xiaomeng Yi (Zilliz)
- 3. Rentong Guo (Zilliz)
- 4. Hai Jin (Zilliz)
- 5. Peng Xu (Zilliz)
- 6. Shengjun Li (Zilliz)
- 7. Xiangyu Wang (Zilliz)
- 8. Xiangzhou Guo (Zilliz)
- 9. Chengming Li (Zilliz)
- 10. Xiaohai Xu (Zilliz)
- 11. Kun Yu (Zilliz)
- 12. Yuxing Yuan (Zilliz)
- 13. Yinghao Zou (Zilliz)
- 14. Jiquan Long (Zilliz)
- 15. Yudong Cai (Zilliz)
- 16. Zhenxiang Li (Zilliz)
- 17. Zhifeng Zhang (Zilliz)
- 18. Yihua Mo (Zilliz)
- 19. Jun Gu (Zilliz)
- 20. Ruiyi Jiang (Zilliz)
- 21. Yi Wei (Zilliz)
- 22. Charles Xie (Zilliz)
BibTeX Citation
@inproceedings{wang_sigmod21,
title = {{Milvus: A Purpose-Built Vector Data Management System}},
author = {Wang, Jianguo and Yi, Xiaomeng and Guo, Rentong and Jin, Hai and Xu, Peng and Li, Shengjun and Wang, Xiangyu and Guo, Xiangzhou and Li, Chengming and Xu, Xiaohai and Yu, Kun and Yuan, Yuxing and Zou, Yinghao and Long, Jiquan and Cai, Yudong and Li, Zhenxiang and Zhang, Zhifeng and Mo, Yihua and Gu, Jun and Jiang, Ruiyi and Wei, Yi and Xie, Charles},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457550},
url = {https://dl.acm.org/doi/10.1145/3448016.3457550},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 93 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,449 | Efficient Vector Index Merging in Vector Databases | 2026 | SIGMOD |
| 2 | 13,290 | VecFlow-Chamfer: A GPU-based Data Management System for High-Performance Multi-Vector Search on Superchips | 2026 | SIGMOD |
| 3 | 4,592 | Data Platform for Machine Learning | 2019 | SIGMOD |
| 4 | 1,631 | High-Throughput Vector Similarity Search in Knowledge Graphs | 2023 | SIGMOD |
| 5 | 1,760 | Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment | 2024 | SIGMOD |
| 6 | 10,036 | VStream: A Distributed Streaming Vector Search System | 2025 | VLDB |
| 7 | 11,005 | GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications | 2025 | VLDB |
| 8 | 10,350 | Building Stateless Serverless Vector DBs via Block-based Data Partitioning | 2026 | SIGMOD |
| 9 | 2,920 | SingleStore-V: An Integrated Vector Database System in SingleStore | 2024 | VLDB |
| 10 | 10,333 | VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs | 2026 | SIGMOD |