Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning
Summary: OpenDBML provides a unifying Python API and web-based extension points for diverse in-database ML engines and a curated dataset library, abstracting away ad-hoc UIs and proprietary data formats. Demo scenarios showcase plug-in of new systems/datasets and end-to-end, join-free in-DB ML workflows. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Mahdi Ghorbani (University of Edinburgh)
- 2. Amir Shaikhha (University of Edinburgh)
BibTeX Citation
@article{ghorbani_vldb23,
title = {{Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning}},
author = {Ghorbani, Mahdi and Shaikhha, Amir},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3970--3973},
doi = {10.14778/3611540.3611598},
url = {https://doi.org/10.14778/3611540.3611598},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 715 | Learning Generalized Linear Models Over Normalized Data | 2015 | SIGMOD | 0.00014655327 |
| 835 | Scaling Factorization Machines to Relational Data | 2013 | VLDB | 0.00013721583 |
| 1,235 | Towards Linear Algebra over Normalized Data | 2017 | VLDB | 0.00011548457 |
| 2,179 | Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra | 2019 | SIGMOD | 9.0146333e-05 |
| 2,769 | A Layered Aggregate Engine for Analytics Workloads | 2019 | SIGMOD | 8.1465406e-05 |
| 4,128 | The Relational Data Borg is Learning | 2020 | VLDB | 6.8850804e-05 |
| 8,960 | An Intermediate Representation for Hybrid Database and Machine Learning Workloads | 2021 | VLDB | 5.3444589e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,340 | Machine Learning for Databases | 2021 | VLDB |
| 2 | 11,482 | Demonstration of SPARQL^ML: An Interfacing Language for Supporting Graph Machine Learning for RDF Graphs | 2023 | VLDB |
| 3 | 5,456 | InferDB: In-Database Machine Learning Inference Using Indexes | 2024 | VLDB |
| 4 | 9,536 | Database Gyms | 2023 | CIDR |
| 5 | 9,391 | Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models | 2024 | VLDB |
| 6 | 13,469 | Towards Scalable Online Machine Learning Collaborations with OpenML | 2021 | VLDB |
| 7 | 10,696 | OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML | 2025 | SIGMOD |
| 8 | 9,962 | Structure-Aware Machine Learning over Multi-Relational Databases | 2021 | SIGMOD |
| 9 | 6,357 | A Unified Transferable Model for ML-Enhanced DBMS | 2022 | CIDR |
| 10 | 2,786 | DB4ML – An In-Memory Database Kernel with Machine Learning Support | 2020 | SIGMOD |