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MayBMS: A Probabilistic Database Management System

Summary: MayBMS extends PostgreSQL with efficient probabilistic operators and APIs for scalable probabilistic querying. It demonstrates data cleaning, HR, and social-network analytics via demos and a web app that uses random-walk on stochastic matrices to model player fitness. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4209
Venue
SIGMOD
Year
2009
Pagerank
7.9742313e-05
Overall Rank
2,875 | 80.01%
DOI
-

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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
1,730 Conditioning Probabilistic Databases 2008 VLDB 0.00010736755
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