Odyssey: A Multi-Store System for Evolutionary Analytics
Summary: Odyssey unifies heterogeneous storage and execution engines for analytics over structured and unstructured data. Its evolutionary architecture adapts queries, users, data sources, and data-management choices to changing workloads and business metrics. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hakan Hacıgümüş (NEC Corporation)
- 2. Jagan Sankaranarayanan (NEC Corporation)
- 3. Junichi Tatemura (NEC Corporation)
- 4. Jeff LeFevre (University of California Santa Cruz)
- 5. Neoklis Polyzotis (University of California Santa Cruz)
BibTeX Citation
@article{hacgumus_vldb13,
title = {{Odyssey: A Multi-Store System for Evolutionary Analytics}},
author = {Hacıgümüş, Hakan and Sankaranarayanan, Jagan and Tatemura, Junichi and LeFevre, Jeff and Polyzotis, Neoklis},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {11},
doi = {10.14778/2536222.2536249},
url = {https://doi.org/10.14778/2536222.2536249},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,783 | MISO: Souping Up Big Data Query Processing with a Multistore System | 2014 | SIGMOD | 7.1298683e-05 |
| 5,720 | Opportunistic Physical Design for Big Data Analytics | 2014 | SIGMOD | 6.1092082e-05 |
| 9,741 | Polyglot Data Management: State of the Art & Open Challenges | 2022 | VLDB | 5.227679e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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