OMBench: Taming Data Management Requirements in Cloud-Native Applications
Summary: OMBench is an online-marketplace benchmark targeting data-management needs missing from existing cloud-native evaluations: distributed transactions, consistent queries/replication, event processing, and integrity constraints. Its decision-and-visualization toolkit exposes performance–guarantee–resource trade-offs across FaaS, actor, and microservice platforms. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Rodrigo Laigner (University of Copenhagen)
- 2. Xikun Jiang (University of Copenhagen)
- 3. Boris Düdder (University of Copenhagen)
- 4. Yongluan Zhou (University of Copenhagen)
BibTeX Citation
@article{laigner_vldb26,
title = {{OMBench: Taming Data Management Requirements in Cloud-Native Applications}},
author = {Laigner, Rodrigo and Jiang, Xikun and Düdder, Boris and Zhou, Yongluan},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4506--4509},
doi = {10.14778/3827998.3828051},
url = {https://doi.org/10.14778/3827998.3828051},
year = {2026}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,021 | Data Management in Microservices: State of the Practice, Challenges, and Research Directions | 2021 | VLDB | 7.7426337e-05 |
| 6,339 | Cloud Actor-Oriented Database Transactions in Orleans | 2024 | VLDB | 5.8092399e-05 |
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