Transforming ML Predictive Pipelines into SQL with MASQ
Summary: MASQ compiles trained ML pipelines (scikit-learn) into standard SQL for on-DBMS inference, with no UDFs or vendor-specific syntax. Eliminating data movement, it leverages DBMS governance, security, and auditability for portable deployment across DBMSs (MySQL, SQL Server) and GUI-based evaluation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,254 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 7.3161051e-05 |
| 6,327 | The Tensor Data Platform: Towards an AI-centric Database System | 2023 | CIDR | 5.1083405e-05 |
| 8,716 | nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems | 2024 | VLDB | 4.4618187e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 140 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00042270404 |
| 658 | Towards a Unified Architecture for in-RDBMS Analytics | 2012 | SIGMOD | 0.00018506577 |
| 2,804 | Extending Relational Query Processing with ML Inference | 2020 | CIDR | 8.0935487e-05 |
| 3,875 | Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML | 2020 | CIDR | 6.675257e-05 |
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