Making an RDBMS Data Scientist Friendly: Advanced In-database Interactive Analytics with Visualization Support
Summary: AIDA embeds an interactive Python/Jupyter workflow inside the RDBMS, enabling near-data exploratory analytics beyond rigid UDFs. Live visualization tracks computation, while evaluations show multi-fold speedups over external data-science frameworks. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Joseph Vinish D’silva (McGill University)
- 2. Florestan De Moor (McGill University)
- 3. Bettina Kemme (McGill University)
BibTeX Citation
@article{dsilva_vldb19,
title = {{Making an RDBMS Data Scientist Friendly: Advanced In-database Interactive Analytics with Visualization Support}},
author = {D’silva, Joseph Vinish and De Moor, Florestan and Kemme, Bettina},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1930--1933},
doi = {10.14778/3352063.3352102},
url = {https://doi.org/10.14778/3352063.3352102},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 2,464 | Compiling Mappings to Bridge Applications and Databases | 2007 | SIGMOD | 8.5480977e-05 |
| 2,847 | AIDA - Abstraction for Advanced In-Database Analytics | 2018 | VLDB | 8.0583142e-05 |
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