Putting Pandas in a Box
Summary: Transpiles Pandas scripts into DBMS-executable SQL, pushing core DataFrame ops and external file access into the database. Automatically converts Python UDFs to SQL UDFs to run complex computations in-DB (e.g., model-join for scoring pre-trained ML models). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stefan Hagedorn
- 2. Steffen Kläbe
- 3. Kai-Uwe Sattler
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,773 | PolyFrame: A Retargetable Query-based Approach to Scaling Dataframes | 2021 | VLDB | 5.9320139e-05 |
| 5,476 | Containerized Execution of UDFs: An Experimental Evaluation | 2022 | VLDB | 5.4866534e-05 |
| 5,731 | Babelfish: Efficient Execution of Polyglot Queries | 2022 | VLDB | 5.3502065e-05 |
| 6,541 | ConnectorX: Accelerating Data Loading From Databases to Dataframes | 2022 | VLDB | 5.0216945e-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 |
| 9,762 | QURE: AI-Assisted and Automatically Verified UDF Inlining | 2025 | SIGMOD | 4.2856106e-05 |
| 9,763 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 4.2856106e-05 |
| 10,471 | Approximating Opaque Top-k Queries | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,076 | RIOT: I/O-Efficient Numerical Computing without SQL | 2009 | CIDR | 0.00014248449 |
| 2,934 | AIDA - Abstraction for Advanced In-Database Analytics | 2018 | VLDB | 7.8595778e-05 |
| 9,416 | When sweet and cute isn't enough anymore: Solving scalability issues in Python Pandas with Grizzly | 2020 | CIDR | 4.3441378e-05 |
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