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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
0.00025636725
Overall Rank
194 | 98.70%
DOI
10.1145/3448016.3457550

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 9 of 109 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 0.0010679641
20 Similarity Search in High Dimensions via Hashing 1999 VLDB 0.00057568153
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038531147
74 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00037091678
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.0002900671
341 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020539791
713 Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan 2016 VLDB 0.00014571977
916 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.00013094482
1,328 VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning 2020 VLDB 0.00011003106
1,370 word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data 2020 PODS 0.00010899399
1,485 PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search 2020 VLDB 0.00010523759
1,897 iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search 2020 VLDB 9.4092345e-05
2,201 An Experimental Study of Bitmap Compression vs. Inverted List Compression 2017 SIGMOD 8.8726671e-05
2,503 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 8.3786151e-05
3,236 Intelligent Probing for Locality Sensitive Hashing: Multi-Probe LSH and Beyond 2017 VLDB 7.5020521e-05
3,578 Aggregation Support for Modern Graph Analytics in TigerGraph 2020 SIGMOD 7.1926749e-05
3,649 Db2 Event Store: A Purpose-Built IoT Database Engine 2020 VLDB 7.1344087e-05
3,656 Best Position Algorithms for Top-k Queries 2007 VLDB 7.1256193e-05
4,752 Optimal Join Algorithms Meet Top-k 2020 SIGMOD 6.434561e-05
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