UDFBench: A Tool for Benchmarking UDF Queries on SQL Engines
Summary: UDFBench focuses on UDF-centric query processing, profiling overheads and optimization opportunities for scalar, aggregate, and table UDFs. Modular benchmark with 42 UDFs, 21 queries, real data, across MonetDB, PostgreSQL, DuckDB, SQLite; Python/Jupyter API enables reproducible experiments. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059038975 |
| 1,882 | Tuplex: Data Science in Python at Native Code Speed | 2021 | SIGMOD | 0.0001021625 |
| 2,237 | Procedural Extensions of SQL: Understanding their usage in the wild | 2021 | VLDB | 9.2212748e-05 |
| 2,418 | Tupleware: "Big" Data, Big Analytics, Small Clusters | 2015 | CIDR | 8.8556595e-05 |
| 6,701 | YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 4.9561066e-05 |
| 8,583 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB | 4.4919445e-05 |
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