Machine Learning, Linear Algebra, and More: Is SQL All You Need?
Summary: Systematic translation of procedural algorithms (machine learning, linear algebra, and other intensive computations) into pure SQL, enabling complex in-DB declarative implementations. Shows modern engines (e.g., HyPer) can match or outperform native linear-algebra libraries. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mark Blacher (University of Jena)
- 2. Joachim Giesen (University of Jena)
- 3. Sören Laue (University of Jena)
- 4. Julien Klaus (University of Jena)
- 5. Viktor Leis (Friedrich-Alexander University Erlangen-Nuremberg)
BibTeX Citation
@inproceedings{blacher_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Machine Learning, Linear Algebra, and More: Is SQL All You Need?}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Blacher, Mark and Giesen, Joachim and Laue, Sören and Klaus, Julien and Leis, Viktor},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,180 | A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language | 2024 | CIDR | 7.5639428e-05 |
| 4,300 | Efficient and Portable Einstein Summation in SQL | 2023 | SIGMOD | 6.6785834e-05 |
| 5,439 | Optimizing Tensor Programs on Flexible Storage | 2023 | SIGMOD | 6.1279464e-05 |
| 6,212 | YeSQL: "You extend SQL" with Rich and Highly Performant User-Defined Functions in Relational Databases | 2022 | VLDB | 5.8480745e-05 |
| 7,983 | Efficient Execution of User-Defined Functions in SQL Queries | 2023 | VLDB | 5.4131297e-05 |
| 8,356 | Optimizing Nested Recursive Queries | 2024 | SIGMOD | 5.3481891e-05 |
| 10,223 | SQL Engines Excel at the Execution of Imperative Programs | 2024 | VLDB | 5.0572221e-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 |
|---|---|---|---|---|
| 154 | MAD Skills: New Analysis Practices for Big Data | 2009 | VLDB | 0.00028579704 |
| 896 | Froid: Optimization of Imperative Programs in a Relational Database | 2018 | VLDB | 0.00013209291 |
| 3,194 | One WITH RECURSIVE is Worth Many GOTOs | 2021 | SIGMOD | 7.5498012e-05 |
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