The CloudMdsQL Multistore System
Summary: CloudMdsQL is a functional SQL-like language and engine for querying multiple heterogeneous stores (relational and NoSQL) in a single query. It lets native-store queries be invoked as functions, enabling cross-store optimization and access to full local capabilities (e.g., graph BFS) within one plan. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Boyan Kolev (INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier)
- 2. Carlyna Bondiombouy (INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier)
- 3. Patrick Valduriez (INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier)
- 4. Ricardo Jiménez-Peris (LeanXcale; Technical University of Madrid (Universidad Politécnica de Madrid))
- 5. Raquel Pau (Sparsity Technologies)
- 6. José Pereira (Institute for Systems and Computer Engineering, Technology and Science; University of Minho)
BibTeX Citation
@inproceedings{kolev_sigmod16,
title = {{The CloudMdsQL Multistore System}},
author = {Kolev, Boyan and Bondiombouy, Carlyna and Valduriez, Patrick and Jiménez-Peris, Ricardo and Pau, Raquel and Pereira, José},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899400},
url = {https://dl.acm.org/doi/10.1145/2882903.2899400},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,968 | Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue | 2019 | SIGMOD | 6.4206525e-05 |
| 9,716 | Querying Shared Data with Security Heterogeneity | 2020 | SIGMOD | 5.2336921e-05 |
| 11,037 | DortDB: Bridging Query Languages for Multi-Model Data Ponds | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,739 | Split Query Processing in Polybase | 2013 | SIGMOD | 9.8814935e-05 |
| 3,783 | MISO: Souping Up Big Data Query Processing with a Multistore System | 2014 | SIGMOD | 7.1298683e-05 |
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