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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)

Paper ID
ha0e7a0dcdc514118
Venue
SIGMOD
Year
2021
Pagerank
0.00026425782
Overall Rank
181 | 98.79%
DOI
10.1145/3448016.3457550
PDF
Download (CC BY 4.0)

Incoming Non-self Citations Over Time

Authors

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 12 of 112 citing papers.

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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.

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010688884
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00057610161
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041439488
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038609177
75 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00037163157
147 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00028941363
325 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020930941
710 Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan 2016 VLDB 0.00014598403
901 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.00013149954
1,318 VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning 2020 VLDB 0.00011035606
1,365 word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data 2020 PODS 0.00010879832
1,460 PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search 2020 VLDB 0.00010558941
1,881 iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search 2020 VLDB 9.4262036e-05
2,017 An Experimental Study of Bitmap Compression vs. Inverted List Compression 2017 SIGMOD 9.169662e-05
2,293 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 8.6780858e-05
3,187 Intelligent Probing for Locality Sensitive Hashing: Multi-Probe LSH and Beyond 2017 VLDB 7.538584e-05
3,557 Aggregation Support for Modern Graph Analytics in TigerGraph 2020 SIGMOD 7.1866532e-05
3,623 Best Position Algorithms for Top-k Queries 2007 VLDB 7.1347556e-05
3,625 Db2 Event Store: A Purpose-Built IoT Database Engine 2020 VLDB 7.1334017e-05
4,730 Optimal Join Algorithms Meet Top-k 2020 SIGMOD 6.4313418e-05
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