YeSQL: Rich User-Defined Functions without the Overhead
Summary: YeSQL extends SQL with rich Python UDFs (scalar, aggregate, table-valued) via a pluggable engine interface usable with server-based or embedded DB engines. It minimizes context switching to the Python VM and uses JIT-traced UDFs to provide practical speedups for data-management workloads. (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 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,343 | The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining | 2025 | VLDB | 4.3546206e-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 |
|---|---|---|---|---|
| 1,882 | Tuplex: Data Science in Python at Native Code Speed | 2021 | SIGMOD | 0.0001021625 |
| 6,701 | YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 4.9561066e-05 |
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