Hyperspace: The Indexing Subsystem of Azure Synapse
Summary: Hyperspace is Synapse’s transparent secondary-indexing subsystem for lake files and warehouse tables, supporting multiple index types, concurrent maintenance, and automatic query rewrites. It delivers up to 10× benchmark and 100× real-workload acceleration without application changes. (summarized by gpt-5.6-luna on Jul 21 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rahul Potharaju (Microsoft)
- 2. Terry Kim (Microsoft)
- 3. Eunjin Song (Microsoft)
- 4. Wentao Wu (Microsoft)
- 5. Lev Novik (Microsoft)
- 6. Apoorve Dave (Microsoft)
- 7. Andrew Fogarty (Microsoft)
- 8. Pouria Pirzadeh (Microsoft)
- 9. Vidip Acharya (Microsoft)
- 10. Gurleen Dhody (Microsoft)
- 11. Jiying Li (Microsoft)
- 12. Sinduja Ramanujam (Microsoft)
- 13. Nicolas Bruno (Microsoft)
- 14. César A. Galindo-Legaria (Microsoft)
- 15. Vivek Narasayya (Microsoft)
- 16. Surajit Chaudhuri (Microsoft)
- 17. Anil K. Nori (Microsoft)
- 18. Tomas Talius (Microsoft)
- 19. Raghu Ramakrishnan (Microsoft)
BibTeX Citation
@article{potharaju_vldb21,
title = {{Hyperspace: The Indexing Subsystem of Azure Synapse}},
author = {Potharaju, Rahul and Kim, Terry and Song, Eunjin and Wu, Wentao and Novik, Lev and Dave, Apoorve and Fogarty, Andrew and Pirzadeh, Pouria and Acharya, Vidip and Dhody, Gurleen and Li, Jiying and Ramanujam, Sinduja and Bruno, Nicolas and Galindo-Legaria, César A. and Narasayya, Vivek and Chaudhuri, Surajit and Nori, Anil K. and Talius, Tomas and Ramakrishnan, Raghu},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3043--3055},
doi = {10.14778/3476311.3476382},
url = {https://doi.org/10.14778/3476311.3476382},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,866 | LogCloud: Fast Search of Compressed Logs on Object Storage | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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