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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)

Paper ID
5172
Venue
SIGMOD
Year
2016
Pagerank
5.2175982e-05
Overall Rank
6,089 | 57.65%
DOI
10.1145/2882903.2899400

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,402 Towards Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue 2019 SIGMOD 5.5278023e-05
9,578 Querying Shared Data with Security Heterogeneity 2020 SIGMOD 4.3248081e-05
10,810 DortDB: Bridging Query Languages for Multi-Model Data Ponds 2025 VLDB 4.1945683e-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
1,977 Split Query Processing in Polybase 2013 SIGMOD 9.8824589e-05
3,562 MISO: Souping Up Big Data Query Processing with a Multistore System 2014 SIGMOD 6.9694564e-05
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